Now Reading: The #1 Mistake 73% of Deployments Make…
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The #1 Mistake 73% of Deployments Make…
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Most organizations treat Microsoft 365 governance as a project phase,
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or something they can finally address after the go-live chaos settles down in Q3.
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They are wrong.
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73% of organizations in regulated industries have recently paused their co-pilot rollouts,
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but this didn’t happen because the technology failed to work.
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Co-pilot stalls because it reveals what was already broken by surfacing the architectural entropy
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you have been inheriting since the first week your tenant existed.
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The uncomfortable truth is that governance was not actually delayed in those organizations.
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It was omitted entirely.
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Everything that followed from the massive licensing ways to the shadow IT ecosystems
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growing parallel to your official tenant was an inevitable consequence of that omission.
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This was not a mistake that better planning could have fixed.
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It was the only possible outcome for the system you built.
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I spend my time explaining why these systems fail rather than offering best practices
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or optimization frameworks that ignore the underlying reality.
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The only way to understand what is actually happening inside your Microsoft 365 tenant
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is to stop thinking of it as a platform.
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In reality it is a distributed decision engine that you never bothered to architect.
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This episode is not a tutorial, it is an autopsy.
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The adoption first delusion.
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Let me start with the belief that matters most to leadership, which is the idea that adoption
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velocity serves as a valid success metric.
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During the first month of any Microsoft 365 deployment, leadership makes a choice that
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feels like a natural path even though it is never framed as a conscious decision.
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And you want people using teams and collaborating to show momentum so you prioritize speed above
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every other architectural consideration.
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Your life happens, users are provisioned and licenses are assigned while adoption curves continue
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to climb.
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This is exactly what success looks like to a board of directors and for the first 18 months
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it feels like you made the right call.
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The system appears to work.
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But here is the structural reality that nobody wants to hear during that first month of
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excitement.
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You have chosen to build a house on unstable ground while promising yourself that you
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will check the foundation later but that day never actually comes.
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The foundational mistake is believing you face a choice between going fast or being secure.
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This almost always picks speed because they assume governance is something you can simply
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layer in after the executive sponsors are satisfied.
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This feels reasonable to a manager but this is exactly where the architecture fails.
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Without a governance layer, the system defaults to maximum permissiveness, which means every
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new team is public and every file shared is open to everyone.
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These are not configuration errors.
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They are the system doing exactly what you told it to do by leaving the gates open.
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Once 18 months pass you find yourself with 12,000 teams and no idea which ones are still
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active or who owns them.
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38% of those environments are now orphaned, meaning the projects ended but the data continues
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to accumulate in the dark.
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You likely have 17% of your sensitive files accessible to external users but you don’t
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know it yet because the system hasn’t had a reason to expose the debt.
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Then co-pilot enters the picture.
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What governance actually is, not what you think.
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You need to understand a fundamental truth about how these systems actually function.
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Governance is not a compliance layer and it certainly isn’t a checkbox you ticked during
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an audit.
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If you treated as something to be added after the foundation is already built.
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You have already failed.
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In reality governance is the authorization compiler for your entire environment.
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It acts as the distributed decision engine across Microsoft 365 processing every access
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request and every sharing event.
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Every single data movement flows through policy rather than around it which means the moment
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you omit governance you effectively remove that compiler.
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The system will still make decisions about who sees what but it will make them without
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any architectural constraints.
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The gap between policy and enforcement is where most organizations lose their minds.
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So 90% of companies have a policy, maybe 10% actually have enforcement to back it up.
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A policy might state that sensitive files should be labeled and restricted but that is just
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a collection of words in a document.
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Enforcement is architecture where the system actively prevents unlabeled files from being
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shared and automatically applies the correct labels based on the content it sees.
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These two concepts are not the same and confusing them is a recipe for architectural erosion.
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Governance functions through three interlocking pillars.
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Identity, data lineage and policy enforcement.
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If you remove even one of these pillars your decision engine shifts from being deterministic
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to being probabilistic.
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At that point you are no longer actually controlling access to your data.
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You are simply hoping the system works out in your favor.
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That distinction matters because of what happens when you try to bolt governance on later.
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When you finally decide to address these issues in month 18 after adoption has stabilized,
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you aren’t just adding a new feature.
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You are attempting to rebuild the entire decision engine while the machine is still running
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at full speed.
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Every data relationship has already been formed and every permission has already been granted
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to users who have grown used to a permissive environment.
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Now you have to find a way to pull those permissions apart without breaking the workflows your
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company relies on.
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That is the exact moment your project stalls.
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Most organizations understand this intellectually, yet they still choose to prioritize speed
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over structural integrity.
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The cost of this belief compounds every single month starting as a minor inconvenience
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and growing into a massive liability.
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By month 24, when a co-pilot pilot finally exposes the scale of your oversharing, the cleanup
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cost for a thousand user organization can approach half a million dollars.
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The real question isn’t whether governance matters to your bottom line.
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The question is whether you choose to architect it in from the start or try to excavate it
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out of the rubble later.
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Consider the 73% of regulated organizations that recently paused their co-pilot rollouts.
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They didn’t stop because the technology failed but because they chose the path of excavation.
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Those companies are now nine months into a remediation project that was originally supposed
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to be a simple productivity tool rollout.
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They are paying the price for treating the authorization compiler as an optional add-on.
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The event when entropy becomes visible.
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Week six of your co-pilot pilot arrives and for the first month and a half the atmosphere
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is purely celebratory.
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Users are genuinely excited because the AI is actually working and every metric suggests
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that productivity is finally moving in the right direction.
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Then week eight happens.
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The shift starts when someone runs a routine co-pilot query and the engine returns a concise
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summary of a confidential executive email.
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This didn’t happen because the email was intentionally marked for public consumption
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but rather because co-pilot simply inherited the user’s existing permissions.
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That specific user had access to sensitive files they never actually needed and that
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happened because governance was treated as an optional add-on rather than a foundational
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requirement.
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In another department co-pilot might surface a detailed financial forecast during a casual
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chat.
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Nobody shared that document on purpose but 15% of your business critical files are already
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overshared to broad groups where that user happens to sit.
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The system isn’t broken it is working exactly as it was designed to work.
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The uncomfortable truth is that your design was actually just entropy.
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This is the trigger event that changes the project’s trajectory.
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This is week eight or nine when your security team starts getting nervous followed by week
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ten when the legal team demands a seat at the table.
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By week twelve the entire rollout usually pauses indefinitely.
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The project didn’t stall because co-pilot failed to deliver on its promise but because
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the AI finally revealed exactly what was already broken in your environment exposure rates
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are rarely a matter of guesswork.
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On average 15% of business critical files are overshared internally while 17% are exposed
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to external parties who should never have seen them.
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Over 3% of all sensitive data is typically shared organization wide without a single restriction.
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These numbers aren’t just pessimistic estimates.
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The other standard measurements pulled from remediation audits when organizations finally
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decide to look at the damage.
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The shadow IT ecosystem only makes this problem more difficult to manage.
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Most organizations are currently running about 975 unknown cloud services which is roughly
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eight times more than the IT department thinks exists.
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These unauthorized services are where employees send the data.
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They don’t think M365 can handle which means your governance gaps have already pushed
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sensitive information outside of your control tenant.
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In this environment sensitivity labels start to feel like a ghost story.
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This is without any classification multiply across your digital landscape and co-pilot outputs
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quickly lose their original source classifications as they are generated.
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The intelligence that grows with every new interaction.
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Every AI generated summary remains unlabeled and every derivative document becomes a brand
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new governance problem for you to solve later.
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This is the exact moment the system decides your fate.
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It doesn’t happen through malice or a technical error but through the cold logic of its own
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design.
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This is a trippy by omitting governance from the start and the system is now simply revealing
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the consequences of that choice.
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73% of regulated organizations will hit the brakes at this stage.
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Once you have seen exactly what is exposed to the wrong people, you cannot unsee the liability.
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The compliance risk is now visible.
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The breach surface has been quantified and the only remaining option is a long painful
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period of remediation.
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The other 27% of organizations never have to deal with this crisis.
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They avoided the week 12 collapse because they chose to build the authorization compiler
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before they ever turned the AI on.
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What governance actually is, not what you think.
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To fix this you have to understand something fundamental about the nature of the platform.
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Governance is not a compliance layer or a simple checkbox on a project plan.
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It is not something you can successfully bolt onto the foundation after the building
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is already finished.
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In architectural terms governance is the authorization compiler.
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It functions as the distributed decision engine across the entire Microsoft 365 stack.
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Every access decision, every sharing event and every movement of data flows through policy
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instead of around it.
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The moment you choose to omit governance, you are choosing to omit that compiler.
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The system will still make decisions, but it will make them without any meaningful constraints.
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When those constraints are missing, the system defaults to a state of maximum permissiveness.
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This is not a bug or a flaw in the software, but the system working exactly as it was engineered
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to behave.
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A new team defaults to public, a shared file defaults to everyone and a newly added guest defaults
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to broad access.
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These aren’t mistakes made by the software.
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They are the inevitable behaviors of an uncompiled authorization system.
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The gap between policy and enforcement is where most organizations lose their way.
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While 90% of companies have a policy, maybe 10% actually have the architecture to enforce it.
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Policies just a statement of intent.
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You write down that sensitive files should be labeled and restricted, you publish the document
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and you tell your employees to follow the rules.
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Enforcement is something entirely different.
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It is the architectural reality where the system prevents unlabeled sensitive files from being
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shared in the first place.
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The system automatically applies the correct label based on the content it sees, and it
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blocks any action that violates the established rules.
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Policy is just a document, but enforcement is a live decision engine.
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True governance relies on three interlocking pillars.
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Identity, data lineage, and policy enforcement.
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If you remove even one of these pillars, your entire decision engine shifts from a deterministic
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model to a probabilistic one.
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Identity without data lineage means you have no idea what data a specific user can actually
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reach.
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Data lineage without enforcement means you can watch data flow to the wrong place, but are
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powerless to stop it.
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Enforcement without identity gives you rules, but no way to identify who actually triggered
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the breach.
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You need all three working in unison to form a compiler.
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When they are kept separate, they are just fragments of a system that isn’t actually
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governing anything at all.
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When you try to bolt governance on 18 months after adoption has stabilized, you aren’t
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just adding a new feature.
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You are attempting to rebuild the entire decision engine while it is still running at full
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speed.
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Every data relationship has already been formed.
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Every permission has been granted, and every user has already adapted to a world where
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everything is open.
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The culture has normalized wide open sharing because nobody ever bothered to set up the
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barriers to prevent it.
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Now you are stuck trying to pull that mess apart without breaking the business.
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You find yourself applying labels retroactively to 12,000 files and restricting access to
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sites that users have considered open by design for over a year.
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You start asking questions about sharing patterns that happened six months ago, but nobody
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remembers why a specific file was shared with a specific group.
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No one documented the intent because the system was simply defaulting to its most permissive
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state.
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That is the point where remediation turns into an excavation project.
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You aren’t optimizing the system anymore.
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You are desperately trying to reverse it.
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The governance first approach follows a completely different logic.
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You establish the compiler before users have a chance to form bad habits or let data relationships
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calcify.
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Before the culture begins to expect maximum openness, you set the rules.
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You decide that all teams are private by default.
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All sharing requires a clear statement of intent and all sensitive data must be classified.
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You enforce these policies at the moment of creation rather than during a cleanup phase.
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Users will adapt to constraints quickly if they encounter them on the very first date.
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They will only adapt to them bitterly if you try to introduce them on day 500.
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The architectural reality is that the 27% of organizations who don’t stall during their
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co-pilot deployment succeeded because they built the authorization compiler first.
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They didn’t view Microsoft 365 as a collaboration platform that needed governance later.
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They designed governance as the platform itself and they let everything else flow through
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it.
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That is the real distinction between simply managing Microsoft 365 and actually compiling
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it.
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One approach treats governance as a temporary phase while the other treats it as the operating
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system.
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The event when entropy becomes visible.
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Week 6 of your co-pilot pilot arrives and on the surface everything looks like a success
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story.
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00:12:44,920 –> 00:12:49,120
During those first five weeks the energy was high because users were excited the AI was
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00:12:49,120 –> 00:12:53,120
actually working and your productivity metrics were finally trending up.
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Then week 8 happens and the architectural reality you ignored starts to push back.
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00:12:57,280 –> 00:13:01,720
The crisis usually starts when someone runs a routine co-pilot query and the engine returns
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00:13:01,720 –> 00:13:04,240
a detailed summary of a confidential email.
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00:13:04,240 –> 00:13:08,080
This didn’t happen because the email was intentionally marked for public consumption but
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00:13:08,080 –> 00:13:11,960
because co-pilot simply inherited the user’s existing permissions.
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00:13:11,960 –> 00:13:16,120
That specific user had access to files they never actually needed for their job and that
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00:13:16,120 –> 00:13:21,640
happened because governance was treated as an optional add-on rather than a core requirement.
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00:13:21,640 –> 00:13:25,960
In another office co-pilot might surface a sensitive financial forecast during a casual
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00:13:25,960 –> 00:13:26,960
chat.
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00:13:26,960 –> 00:13:31,400
Nobody shared that document on purpose but 15% of your business critical files are already
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00:13:31,400 –> 00:13:34,400
overshared to broad groups where that user happens to sit.
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00:13:34,400 –> 00:13:38,240
The system isn’t broken in fact it is working exactly as it was designed to work.
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00:13:38,240 –> 00:13:40,800
The problem is that your design was based on entropy.
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00:13:40,800 –> 00:13:44,040
This is the trigger event that shifts the mood of the entire project.
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00:13:44,040 –> 00:13:47,960
This is week 8 or 9 when your security team starts getting nervous followed by week 10
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when the legal team demands a meeting.
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00:13:49,880 –> 00:13:54,760
By week 12 the entire rollout pauses not because the AI failed to deliver but because co-pilot
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00:13:54,760 –> 00:13:58,480
finally revealed exactly what was already broken in your environment.
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You need to understand this one vital point.
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Co-pilot does not create problems it exposes decisions.
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These are the decisions you made by omitting governance when you first set up the tenant.
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00:14:08,440 –> 00:14:13,160
These choices calcified in month 3 when a team site defaulted to public and they multiplied
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00:14:13,160 –> 00:14:18,160
in month 6 when wide open sharing became the path of least resistance for your staff.
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00:14:18,160 –> 00:14:21,880
By month 12 this behavior was so normalized that no one even questioned why access was
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00:14:21,880 –> 00:14:22,880
so broad.
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00:14:22,880 –> 00:14:26,520
The exposure rate in your organization isn’t a theoretical guess.
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00:14:26,520 –> 00:14:31,400
Statistics show that 15% of business critical files are overshared internally while 17% are
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00:14:31,400 –> 00:14:33,080
exposed externally.
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00:14:33,080 –> 00:14:37,520
Even worse over 3% of your most sensitive data is likely shared organization wide without
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00:14:37,520 –> 00:14:38,800
any restrictions at all.
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00:14:38,800 –> 00:14:41,280
These numbers aren’t just estimates from a textbook.
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00:14:41,280 –> 00:14:46,000
They are hard measurements taken from remediation audits across every industry and geography.
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00:14:46,000 –> 00:14:49,280
The shadow IT ecosystem only makes this situation more dangerous.
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00:14:49,280 –> 00:14:54,360
The average organization has 975 unknown cloud services running right now which is about
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00:14:54,360 –> 00:14:56,920
8 times more than IT thinks exists.
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00:14:56,920 –> 00:15:01,600
These unauthorized services are where employees send the data they don’t think M365 can
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00:15:01,600 –> 00:15:06,160
handle meaning your governance gaps have already pushed data outside your control tenant.
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00:15:06,160 –> 00:15:09,360
You aren’t actually protecting that information you are just pretending you don’t know it
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00:15:09,360 –> 00:15:10,360
exists.
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00:15:10,360 –> 00:15:14,280
In this environment sensitivity labels start to feel like a ghost story that no one actually
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00:15:14,280 –> 00:15:15,360
believes in.
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00:15:15,360 –> 00:15:19,480
Files without any classification multiply across your environment and co-pilot outputs quickly
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00:15:19,480 –> 00:15:21,120
lose their source classifications.
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00:15:21,120 –> 00:15:25,240
You might assign a label to a document but when co-pilot summarizes it that new summary
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00:15:25,240 –> 00:15:26,760
has no label at all.
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00:15:26,760 –> 00:15:31,360
This is how your intelligence debt grows as every AI generated output becomes a fresh
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00:15:31,360 –> 00:15:34,200
piece of unclassified data that you’ve just created.
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00:15:34,200 –> 00:15:38,040
Every derivative document is a new governance problem that the system generated without your
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00:15:38,040 –> 00:15:41,200
intent and now it sits unlabeled in a random one drive.
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00:15:41,200 –> 00:15:43,960
This is the moment where the system decides your fate.
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00:15:43,960 –> 00:15:47,080
It isn’t acting out of malice or making a technical error.
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It is simply following the design you provided.
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You designed entropy by leaving out governance and now the system is showing you the results
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00:15:53,480 –> 00:15:54,720
of that choice.
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00:15:54,720 –> 00:15:58,200
When the project stalls at week 12 it isn’t a failure of the co-pilot software.
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00:15:58,200 –> 00:16:00,640
It is a fundamental failure of architecture.
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00:16:00,640 –> 00:16:04,840
Your architecture consisted of permissions without any constraints, sharing without classification
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00:16:04,840 –> 00:16:07,680
and access without a clear business justification.
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00:16:07,680 –> 00:16:09,520
Co-pilot didn’t create those flaws.
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00:16:09,520 –> 00:16:13,160
It just made those invisible decisions visible to everyone.
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00:16:13,160 –> 00:16:18,120
73% of regulated organizations end up pausing their rollout at this exact stage.
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00:16:18,120 –> 00:16:22,040
Once you see exactly what is exposed to the wrong people you cannot unsee it.
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00:16:22,040 –> 00:16:23,960
The compliance risk is now out in the open.
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00:16:23,960 –> 00:16:28,400
The breach surface has been quantified and your only remaining option is a massive remediation
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00:16:28,400 –> 00:16:29,400
project.
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00:16:29,400 –> 00:16:32,880
97% of organizations never have to deal with this moment.
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00:16:32,880 –> 00:16:37,320
They succeeded because they built an authorization compiler before they ever turned on the AI.
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00:16:37,320 –> 00:16:42,080
They established identity controls before users formed bad habits and they enforced classification
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before data relationships could calcify.
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00:16:44,800 –> 00:16:48,120
For them governance was the system itself, not just the phase of the project.
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00:16:48,120 –> 00:16:52,480
When their pilot reaches week 6 there is nothing scandalous for the AI to expose.
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00:16:52,480 –> 00:16:56,440
Entropy was never introduced into their environment so the system is already making the correct
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00:16:56,440 –> 00:16:57,440
decisions.
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00:16:57,440 –> 00:17:00,840
In architecture, co-pilot becomes exactly what it was supposed to be.
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00:17:00,840 –> 00:17:04,800
A productivity tool rather than a high speed vulnerability scanner.
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00:17:04,800 –> 00:17:08,400
That is the real architectural difference and it isn’t just about success or failure
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00:17:08,400 –> 00:17:11,600
but the gap between inevitable exposure and deliberate control.
319
00:17:11,600 –> 00:17:16,000
The 73% moment regulated industries pause co-pilot.
320
00:17:16,000 –> 00:17:20,240
This is the point where the pattern of failure becomes undeniable for everyone involved.
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00:17:20,240 –> 00:17:24,560
73% of organizations in regulated industries have been forced to pause their co-pilot
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00:17:24,560 –> 00:17:28,560
rollouts. We aren’t just talking about small tests or limited pilots but the full enterprise
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00:17:28,560 –> 00:17:31,240
wide rollouts that were supposed to transform the business.
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00:17:31,240 –> 00:17:33,440
They have stopped dead in their tracks.
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00:17:33,440 –> 00:17:37,360
This trend is hitting finance, healthcare, pharmaceuticals and government agencies the
326
00:17:37,360 –> 00:17:38,360
hardest.
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00:17:38,360 –> 00:17:43,000
These are organizations where data exposure isn’t just a theoretical risk or a minor headache.
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00:17:43,000 –> 00:17:48,640
In these sectors a leak is a compliance violation, a massive fine and a formal regulatory response.
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00:17:48,640 –> 00:17:52,120
These organizations have paused because they finally understand the stakes.
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00:17:52,120 –> 00:17:55,880
The most important thing to realize is that this pause didn’t happen because co-pilot failed
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00:17:55,880 –> 00:17:56,880
to work.
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00:17:56,880 –> 00:17:59,080
Co-pilot works exactly as it was designed.
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00:17:59,080 –> 00:18:02,080
Aggregating data based on the permissions the user already holds.
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00:18:02,080 –> 00:18:05,760
The pause happened because organizations finally realized what co-pilot can actually
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00:18:05,760 –> 00:18:09,680
access and once they saw that reality they understood they had never truly governed
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00:18:09,680 –> 00:18:11,520
access in the first place.
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00:18:11,520 –> 00:18:15,280
This is the moment where the flaws in your architecture become impossible to ignore.
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00:18:15,280 –> 00:18:19,000
The trigger for this shutdown isn’t a lack of capability in the AI but a sudden surge
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00:18:19,000 –> 00:18:20,600
in visibility.
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00:18:20,600 –> 00:18:24,680
It makes your messy permissions visible by showing you in plain language exactly what a user
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00:18:24,680 –> 00:18:25,680
can reach.
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00:18:25,680 –> 00:18:29,720
This isn’t buried in an admin report or a compliance audit that no one reads.
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00:18:29,720 –> 00:18:31,760
It happens right in the middle of a conversation.
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00:18:31,760 –> 00:18:35,760
A user runs a simple query and co-pilot returns information that should have been locked
345
00:18:35,760 –> 00:18:37,280
down years ago.
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00:18:37,280 –> 00:18:41,240
Suddenly the governance gap that has been calcifying for 18 months is right in front of
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00:18:41,240 –> 00:18:42,240
your face.
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00:18:42,240 –> 00:18:46,560
This matters for regulated industries because these gaps don’t stay quiet in an AI-driven
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00:18:46,560 –> 00:18:47,560
environment.
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00:18:47,560 –> 00:18:52,080
From existential threats the moment an AI can aggregate that permissive access and expose
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00:18:52,080 –> 00:18:53,080
it in an instant.
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00:18:53,080 –> 00:18:57,400
Under normal circumstances a user shouldn’t be able to see financial forecasts but they have
353
00:18:57,400 –> 00:19:01,000
access because the site defaulted to public and no one ever fixed it.
354
00:19:01,000 –> 00:19:05,520
In a standard M365 workflow that gap stays invisible because it is passive.
355
00:19:05,520 –> 00:19:09,320
For a user to find that file they would have to know it existed, navigate to the right
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00:19:09,320 –> 00:19:11,440
folder and manually download it.
357
00:19:11,440 –> 00:19:14,480
Co-pilot changes the math by making that discovery automatic.
358
00:19:14,480 –> 00:19:18,600
They can find that file, combine it with other data the user can access and surface deep
359
00:19:18,600 –> 00:19:20,320
insights in a matter of seconds.
360
00:19:20,320 –> 00:19:24,640
The governance gap transforms from an invisible passive risk into an active high speed exposure.
361
00:19:24,640 –> 00:19:28,000
For a regulated organization this crosses a dangerous threshold.
362
00:19:28,000 –> 00:19:31,920
The active exposure of confidential data isn’t just a minor compliance issue.
363
00:19:31,920 –> 00:19:33,920
It is a full blown, breached condition.
364
00:19:33,920 –> 00:19:37,600
The moment you realize co-pilot can access something it shouldn’t you have to assume it
365
00:19:37,600 –> 00:19:38,920
has already been exposed.
366
00:19:38,920 –> 00:19:42,320
At that point pausing the rollout is the only defensive move you have left.
367
00:19:42,320 –> 00:19:45,160
The actual cost of this pause is purely architectural.
368
00:19:45,160 –> 00:19:49,600
You have already sunk a massive investment into co-pilot licensing and you’ve spent months
369
00:19:49,600 –> 00:19:52,320
communicating the value of the tool to your users.
370
00:19:52,320 –> 00:19:55,560
You build the pilots and train the staff only to pull the plug right when things were
371
00:19:55,560 –> 00:19:56,720
supposed to scale.
372
00:19:56,720 –> 00:19:59,920
When you stop the rollout user confusion starts to multiply.
373
00:19:59,920 –> 00:20:03,560
People want to know why the tool disappeared and why it was considered safe last week but
374
00:20:03,560 –> 00:20:04,840
risky today.
375
00:20:04,840 –> 00:20:07,760
The momentum you worked so hard to build simply evaporates.
376
00:20:07,760 –> 00:20:10,240
The real cost isn’t just the wasted licensing fees.
377
00:20:10,240 –> 00:20:13,880
It is the loss of credibility and the signal you send to your workforce that you ship
378
00:20:13,880 –> 00:20:15,840
the product you didn’t actually understand.
379
00:20:15,840 –> 00:20:20,360
This architectural moment matters because the pause exposes the total absence of foundational
380
00:20:20,360 –> 00:20:21,360
governance.
381
00:20:21,360 –> 00:20:25,720
Organizations that stop their rollout aren’t doing it because co-pilot is a bad product.
382
00:20:25,720 –> 00:20:29,000
They are pausing because they finally looked at the system they built and saw nothing but
383
00:20:29,000 –> 00:20:30,000
entropy.
384
00:20:30,000 –> 00:20:34,240
They saw permission sprawl they had accepted as normal and classification that never actually
385
00:20:34,240 –> 00:20:35,240
happened.
386
00:20:35,240 –> 00:20:39,040
That is when leadership finally realizes they built the entire environment wrong from
387
00:20:39,040 –> 00:20:40,040
the very beginning.
388
00:20:40,040 –> 00:20:42,840
This mistake didn’t start with the co-pilot pilot.
389
00:20:42,840 –> 00:20:45,800
It started on day one of the original deployment.
390
00:20:45,800 –> 00:20:49,720
On that first day they chose adoption velocity over governance and they decided to build
391
00:20:49,720 –> 00:20:53,200
a permissive system with the hope of adding constraints later.
392
00:20:53,200 –> 00:20:57,680
That choice set in motion the entire cascade that made a week 12 shutdown inevitable.
393
00:20:57,680 –> 00:21:01,600
This was never a co-pilot problem but a governance problem that co-pilot was kind enough
394
00:21:01,600 –> 00:21:02,680
to reveal.
395
00:21:02,680 –> 00:21:07,360
The 73% pause because their architecture was fundamentally incompatible with AI.
396
00:21:07,360 –> 00:21:11,960
The 27% never had to stop because their architecture was already sound from the start.
397
00:21:11,960 –> 00:21:16,800
That is the moment the difference between a secure system and a lucky one becomes clear.
398
00:21:16,800 –> 00:21:19,880
The entropy generators, what you are knowingly created.
399
00:21:19,880 –> 00:21:23,840
Now we need to look at what actually happened inside your environment while you were chasing
400
00:21:23,840 –> 00:21:25,080
adoption velocity.
401
00:21:25,080 –> 00:21:29,280
The foundational mistake is something you have likely already accepted as a cost of doing
402
00:21:29,280 –> 00:21:30,280
business.
403
00:21:30,280 –> 00:21:32,040
Naming conventions were never enforced.
404
00:21:32,040 –> 00:21:36,080
In the second month of your deployment someone created a team called team one followed
405
00:21:36,080 –> 00:21:41,280
quickly by Shared, Archive and Projects, FY24.
406
00:21:41,280 –> 00:21:45,360
Then came projects and projects at FY25 and while each one had a legitimate reason at the
407
00:21:45,360 –> 00:21:49,040
moment of creation they all felt like quick solutions to immediate needs.
408
00:21:49,040 –> 00:21:54,400
By month 18 your tenant had ballooned to 12,000 teams leaving users unable to find anything
409
00:21:54,400 –> 00:21:57,640
and no one remembering which workspace was actually active.
410
00:21:57,640 –> 00:22:01,600
This led to a situation where nobody knew if the data in Archive was truly archived or
411
00:22:01,600 –> 00:22:03,400
just abandoned in a digital graveyard.
412
00:22:03,400 –> 00:22:04,400
This isn’t a mistake.
413
00:22:04,400 –> 00:22:05,400
This is entropy.
414
00:22:05,400 –> 00:22:10,240
The system is designed to create teams and when no policy constraints that creation and
415
00:22:10,240 –> 00:22:14,920
no naming enforcement prevents duplication the system does exactly what systems do.
416
00:22:14,920 –> 00:22:15,920
It multiplies.
417
00:22:15,920 –> 00:22:20,480
Every new team becomes a new permutation of the last one and every new permutation introduces
418
00:22:20,480 –> 00:22:23,480
a fresh governance problem that must eventually be solved.
419
00:22:23,480 –> 00:22:28,520
This is the architectural reason why ungoverned teams sprawl exponentially rather than linearly.
420
00:22:28,520 –> 00:22:31,320
Then we have the issue of permission creep, access expands.
421
00:22:31,320 –> 00:22:32,320
It never contracts.
422
00:22:32,320 –> 00:22:36,400
When someone joins a team and needs a specific folder you grant it and when they need a document
423
00:22:36,400 –> 00:22:38,000
library you grant that too.
424
00:22:38,000 –> 00:22:42,320
Six months pass and they switch roles meaning they no longer need that access yet the permissions
425
00:22:42,320 –> 00:22:44,360
remain exactly where you left them.
426
00:22:44,360 –> 00:22:48,800
This isn’t an oversight it is gravitational pull, access has gravity and once it is granted
427
00:22:48,800 –> 00:22:52,760
it tends to stay granted because nobody benefits from the effort of removing it.
428
00:22:52,760 –> 00:22:57,440
Removing access costs time and invites user complaints so the system simply accumulates.
429
00:22:57,440 –> 00:23:00,040
One user ends up with seven unnecessary roles.
430
00:23:00,040 –> 00:23:03,880
Ten users hold on to outdated permissions and soon a hundred people are sitting on access
431
00:23:03,880 –> 00:23:05,000
they shouldn’t have.
432
00:23:05,000 –> 00:23:10,000
By month 18 the average user has access to thousands of files they don’t even know exist
433
00:23:10,000 –> 00:23:13,240
and co-pilot can discover those files instantly.
434
00:23:13,240 –> 00:23:17,520
Sensitivity labels should have been the foundation of your strategy but in reality they were ignored.
435
00:23:17,520 –> 00:23:21,840
Ninety percent of your files likely remain unlabeled because labeling requires intent and
436
00:23:21,840 –> 00:23:24,720
forces someone to pause and classify their work.
437
00:23:24,720 –> 00:23:28,560
Under permissive system there is no urgency and no consequence for failing to label so the
438
00:23:28,560 –> 00:23:32,280
decision is made by default the default is always unlabeled.
439
00:23:32,280 –> 00:23:36,240
The system then propagates this unlabeled data and when co-pilot processes it there is
440
00:23:36,240 –> 00:23:38,720
no policy attached to the information.
441
00:23:38,720 –> 00:23:43,200
Nothing prevents the AI from surfacing it and nothing prevents the output from being shared.
442
00:23:43,200 –> 00:23:47,760
This is why sensitivity labels are the ghost story of M365.
443
00:23:47,760 –> 00:23:51,960
Files without them become the invisible foundation of your organizational exposure shadow it is
444
00:23:51,960 –> 00:23:55,720
not a security problem it is a symptom your employees are solving governance gaps by
445
00:23:55,720 –> 00:23:59,520
themselves because they cannot use Microsoft 365 the way they want.
446
00:23:59,520 –> 00:24:03,160
When they can’t collaborate easily they move to dropbox and when they can’t apply the
447
00:24:03,160 –> 00:24:07,720
governance they need they move to a personal chat GPT instance they build shadow workflows
448
00:24:07,720 –> 00:24:11,360
because they want to control their data in ways your system doesn’t allow.
449
00:24:11,360 –> 00:24:17,040
Finding 975 unknown services in an organization isn’t a sign of negligence it is a sign of
450
00:24:17,040 –> 00:24:21,200
resistance it is your workforce telling you that the system you built does not solve their
451
00:24:21,200 –> 00:24:22,520
actual problems.
452
00:24:22,520 –> 00:24:26,240
The main sites and inactive groups are the infrastructure you simply forgot you created.
453
00:24:26,240 –> 00:24:30,720
A project ends but the team the site and the data all remain because no one bothers to
454
00:24:30,720 –> 00:24:31,720
delete them.
455
00:24:31,720 –> 00:24:36,160
Deletion is an active choice that requires intent and invites the perceived risk of losing
456
00:24:36,160 –> 00:24:39,840
something important because of this the decision is made by omission and the default
457
00:24:39,840 –> 00:24:41,320
state becomes persistence.
458
00:24:41,320 –> 00:24:46,200
When 38% of your teams are often over a third of your infrastructure is just accumulating
459
00:24:46,200 –> 00:24:50,960
this grows your storage costs expands your attack surface and complicates your governance
460
00:24:50,960 –> 00:24:55,680
until the system becomes unmanageable in architectural terms none of these are mistakes every entropy
461
00:24:55,680 –> 00:25:00,160
generator is the inevitable result of absent governance naming conventions sprawl because
462
00:25:00,160 –> 00:25:03,160
you didn’t enforce them and permission creep happens because you didn’t constrain the
463
00:25:03,160 –> 00:25:07,760
environment files remain unlabeled because you didn’t make labeling mandatory and shadow
464
00:25:07,760 –> 00:25:12,120
it grows because you didn’t provide viable alternatives the system didn’t fail the system
465
00:25:12,120 –> 00:25:17,120
decided in the absence of governance the system defaults to maximum complexity and maximum
466
00:25:17,120 –> 00:25:22,040
permissiveness you didn’t design this chaos but you inherited it the moment you chose adoption
467
00:25:22,040 –> 00:25:28,640
velocity over architectural intent the cost equation why reactive always costs 4x let’s talk
468
00:25:28,640 –> 00:25:33,320
about money because this is where architectural failure becomes a quantifiable disaster imagine
469
00:25:33,320 –> 00:25:37,960
you have 4,000 users on e3 licenses where the base cost is 36 dollars per user every month
470
00:25:37,960 –> 00:25:43,360
your annual spend sits at roughly 1.7 million dollars but then Microsoft announces an 8% price
471
00:25:43,360 –> 00:25:50,400
increase that extra $3 per user adds 144,000 to your yearly bill for an organization of this
472
00:25:50,400 –> 00:25:55,480
size that increases significant but manageable so you sting a bit and absorb it into the budget
473
00:25:55,480 –> 00:25:59,600
now at the cost of governance remediation to that predictable number you are sitting on
474
00:25:59,600 –> 00:26:05,600
12,000 teams where nearly 40% are often and 17% of your sensitive files are accessible to
475
00:26:05,600 –> 00:26:10,160
the outside world your security team has finally looked at the data and they are panicking
476
00:26:10,160 –> 00:26:14,800
while legal and the border starting to demand answers you begin remediation and the choice
477
00:26:14,800 –> 00:26:18,880
is no longer abstract you have to fix what you built here is the uncomfortable truth of
478
00:26:18,880 –> 00:26:23,560
the cost equation first you face the direct costs of external consulting you cannot fix
479
00:26:23,560 –> 00:26:27,840
this internally because your team lacks the bandwidth and the specific expertise to untangle
480
00:26:27,840 –> 00:26:32,280
this web you bring in a firm specializing in m365 governance and the bill runs anywhere
481
00:26:32,280 –> 00:26:36,800
from 100,000 to half a million dollars you are essentially paying strangers to understand
482
00:26:36,800 –> 00:26:41,240
the environment that you should have mastered in month one tooling costs come next you realize
483
00:26:41,240 –> 00:26:46,160
you need Microsoft purview advanced monitoring and license optimization tools that aren’t included
484
00:26:46,160 –> 00:26:51,120
in your e3 bundle these are expensive add-ons but they are now non-negotiable because you desperately
485
00:26:51,120 –> 00:26:55,240
need visibility and automation to prevent this from happening again you can expect to drop
486
00:26:55,240 –> 00:27:00,800
another 15 to 50,000 dollars annually just for the software required to clean up the mess
487
00:27:00,800 –> 00:27:04,880
then there is the labor which is where the cost becomes invisible but devastating a proper
488
00:27:04,880 –> 00:27:09,600
remediation project takes about nine months and during that time your internal teams are effectively
489
00:27:09,600 –> 00:27:14,640
frozen sharepoint admins are stuck on site cleanup while identity admins review broken permission
490
00:27:14,640 –> 00:27:19,760
structures and security teams try to implement sensitivity labels retroactively these people are
491
00:27:19,760 –> 00:27:24,880
no longer working on new initiatives or enabling features that help the business they are spending
492
00:27:24,880 –> 00:27:30,000
their careers reversing bad decisions made 18 months ago when you calculate the salary and
493
00:27:30,000 –> 00:27:34,880
opportunity cost of this effort you are looking at months of full-time equivalent work that produces
494
00:27:34,880 –> 00:27:39,520
nothing new your innovation team wanted to automate processes with power apps but they are stuck on
495
00:27:39,520 –> 00:27:43,760
the governance project instead your business units wanted to scale teams to new departments but
496
00:27:43,760 –> 00:27:48,160
they are waiting for a clean environment before they can expand this compounds every month spent
497
00:27:48,160 –> 00:27:52,960
on remediation is a month where actual progress does not happen the compounding effect is the real
498
00:27:52,960 –> 00:27:58,800
killer each month you ignore governance the cleanup cost grows exponentially rather than linearly
499
00:27:58,800 –> 00:28:04,080
in month six you might have 10,000 files that need labels which is a manageable task for a small team
500
00:28:04,080 –> 00:28:09,360
by month 18 that number has jumped to 35,000 files and now you have permission sprawl across
501
00:28:09,360 –> 00:28:14,080
hundreds of new teams created while you are looking the other way the surface area you need to fix
502
00:28:14,080 –> 00:28:18,800
keeps expanding and every day you wait multiplies the total scope of the project the proactive
503
00:28:18,800 –> 00:28:23,120
alternative looks very different the organizations that don’t stall during their copilot deployment have
504
00:28:23,120 –> 00:28:27,440
already paid these costs but they paid them on a much better timeline they spent the money when
505
00:28:27,440 –> 00:28:32,080
there were 10 teams instead of 12,000 and they set the rules when permission structures were still
506
00:28:32,080 –> 00:28:38,480
forming implementing governance up front for 4,000 seed organization might cost $150,000 for the
507
00:28:38,480 –> 00:28:43,920
planning architecture and training it happens in 90 days and more importantly it only happens once
508
00:28:43,920 –> 00:28:50,000
the cost of reactive remediation for that same organization is 3 to 8 times higher it stretches over
509
00:28:50,000 –> 00:28:54,960
the better part of a year consumes your entire team’s capacity and creates massive friction for
510
00:28:54,960 –> 00:29:00,080
your users the math is simple proactive governance costs $1 to prevent the problem while reactive
511
00:29:00,080 –> 00:29:04,720
governance costs $4 to fix it but here is the architectural truth that $4 of remediation
512
00:29:04,720 –> 00:29:08,880
doesn’t actually solve the problem it just makes the mess manageable you never fully recover from
513
00:29:08,880 –> 00:29:12,960
governance that was omitted at the start so you end up managing the debt forever you patch it you
514
00:29:12,960 –> 00:29:17,760
monitor it and you pray that no new exposure occurs the organizations that didn’t stall spent their
515
00:29:17,760 –> 00:29:23,360
$1 and moved on their governance is baked into the system it scales naturally and it doesn’t require
516
00:29:23,360 –> 00:29:28,640
perpetual cleanup this is what the cost equation is really telling you it isn’t just about the budget
517
00:29:28,640 –> 00:29:34,560
it is the difference between solving a problem once and managing a failure forever case study one
518
00:29:34,560 –> 00:29:40,400
the excavation post facto failure let me show you exactly what this architectural erosion looks like
519
00:29:40,400 –> 00:29:46,080
when it hits the real world we are looking at a real organization with 2800 users running on an E3
520
00:29:46,080 –> 00:29:51,200
tenant that had been active for three years they operated with no formal governance framework
521
00:29:51,200 –> 00:29:56,560
and while those numbers are specific to them the outcome is something I see with haunting consistency
522
00:29:56,560 –> 00:30:00,960
when this group first deployed they made the comfortable choice we have been dissecting which was
523
00:30:00,960 –> 00:30:06,560
to prioritize a fast go-live and worry about governance later for the first 18 months that decision
524
00:30:06,560 –> 00:30:10,480
actually looked like a stroke of genius because adoption was clean and the users were happy
525
00:30:10,480 –> 00:30:14,640
the leadership saw a system that appeared to be working perfectly but they were simply watching
526
00:30:14,640 –> 00:30:20,480
the fuse burn on a massive pile of digital debt by the time they hit month 36 the environment had
527
00:30:20,480 –> 00:30:26,720
devolved into what I call conditional chaos they had 12 000 teams sites cluttering the tenant and 38
528
00:30:26,720 –> 00:30:32,080
percent of those were often shells with no active owners even worse 17 percent of those sites contained
529
00:30:32,080 –> 00:30:36,960
files shared externally that never should have left the building and 75 percent of their data had
530
00:30:36,960 –> 00:30:43,840
no sensitivity labels at all 623 guests still had persistent access to sensitive repositories long
531
00:30:43,840 –> 00:30:49,040
after their projects ended yet the organization never formally assessed this oversharing because doing
532
00:30:49,040 –> 00:30:54,320
so meant admitting the problem existed this mess was their baseline and it wasn’t the result of a
533
00:30:54,320 –> 00:30:59,440
single mistake or some specific act of negligence it was the natural inevitable result of omitting
534
00:30:59,440 –> 00:31:04,160
governance from the start which allowed the system to default to a permissive state they didn’t
535
00:31:04,160 –> 00:31:08,800
just have a messy tenant they had designed a system that decided to be insecure by default
536
00:31:08,800 –> 00:31:12,560
then co-pilot entered the picture the first week of the pilot was filled with the usual
537
00:31:12,560 –> 00:31:18,080
enthusiasm and by week two everyone was excited about the obvious productivity gains that changed in
538
00:31:18,080 –> 00:31:22,880
week six when users started reporting that co-pilot was surfacing highly confidential information in
539
00:31:22,880 –> 00:31:27,600
standard chat responses it pulled up an HR document detailing upcoming organizational changes
540
00:31:27,600 –> 00:31:32,160
and a financial forecast meant only for the executive suite these documents lived inside the
541
00:31:32,160 –> 00:31:37,440
users technically had permission to access so co-pilot found them aggregated the data and surfaced
542
00:31:37,440 –> 00:31:42,160
it exactly as it was designed to do at that moment the organization was forced to actually look at
543
00:31:42,160 –> 00:31:46,800
the architecture they had built and all they saw was entropy they were staring at 12 000 teams
544
00:31:46,800 –> 00:31:51,840
and files scattered across repositories with zero classification permissions had accumulated over
545
00:31:51,840 –> 00:31:56,560
three years like plaque in an artery and because there had been no reviews the legal insecurity
546
00:31:56,560 –> 00:32:01,200
teams had to halt the pilot immediately they reached the unavoidable conclusion that they couldn’t
547
00:32:01,200 –> 00:32:05,120
deploy co-pilot without knowing what it could access and they couldn’t know that without fixing
548
00:32:05,120 –> 00:32:09,360
the infrastructure they had ignored for years this is where the excavation began it took nine
549
00:32:09,360 –> 00:32:14,240
months and a specialized external consulting firm to begin digging through the layers of calcified
550
00:32:14,240 –> 00:32:18,560
data internal teams were pulled off their actual jobs and frozen on this remediation project which
551
00:32:18,560 –> 00:32:23,680
turned into a methodical but brutal process of digital archaeology during the inventory phase
552
00:32:23,680 –> 00:32:28,800
they spent six weeks cataloging every team every guest and every permission structure in the tenant
553
00:32:28,800 –> 00:32:33,120
they discovered a sharepoint site from month four that everyone had forgotten along with guest
554
00:32:33,120 –> 00:32:37,760
accounts from mergers that happened three years ago they even found department heads who still held
555
00:32:37,760 –> 00:32:42,320
platform admin rights they had been granted once for a specific task and never relinquished the
556
00:32:42,320 –> 00:32:47,120
classification phase was even more painful as they had to apply sensitivity labels retroactively
557
00:32:47,120 –> 00:32:51,840
to twelve thousand files this wasn’t something they could just automate it was manual labor at a massive
558
00:32:51,840 –> 00:32:56,960
scale that required admins to review documents and determine their classification one by one the
559
00:32:56,960 –> 00:33:01,760
process was naturally error prone and completely overwhelming dragging on for four full months
560
00:33:01,760 –> 00:33:06,160
finally they moved into the cleanup phase to delete obsolete teams and reclaim guest access they
561
00:33:06,160 –> 00:33:10,720
had to check if anyone was still using often sites before hitting delete and they had to confirm
562
00:33:10,720 –> 00:33:16,000
every guest’s status before cutting them off this created massive friction with the user base who
563
00:33:16,000 –> 00:33:22,000
constantly asked why their access was disappearing or why their favorite team was gone the answers were
564
00:33:22,000 –> 00:33:26,960
honest but painful the organization was finally governing what it should have governed years ago the
565
00:33:26,960 –> 00:33:31,600
financial cost of this delay was staggering they spent three hundred thousand dollars on consultants
566
00:33:31,600 –> 00:33:36,480
fifty thousand on new tooling and another thirty thousand in internal salary costs for the frozen
567
00:33:36,480 –> 00:33:41,600
teams the opportunity cost was even higher as innovation stalled and major initiatives were deferred while
568
00:33:41,600 –> 00:33:46,000
they excavated a foundation that should have been poured on day one when you added up they spent
569
00:33:46,000 –> 00:33:50,560
three hundred eighty thousand dollars and nine months of time for a single organization of twenty eight
570
00:33:50,560 –> 00:33:55,120
hundred users the architectural truth they learned is that you don’t deploy governance after the
571
00:33:55,120 –> 00:33:59,520
fact you excavated they had to tear apart a system that was three years calcified while it was
572
00:33:59,520 –> 00:34:04,400
still running and the co-pilot pilot never actually resumed the pause became a stall and the
573
00:34:04,400 –> 00:34:08,800
stall eventually became a total shutdown this is what the seventy three percent of organizations
574
00:34:08,800 –> 00:34:13,120
experience when they realize their architecture is wrong copilot doesn’t fail because the technology is
575
00:34:13,120 –> 00:34:18,080
broken it fails because finally someone looked at what they built and realized they didn’t understand
576
00:34:18,080 –> 00:34:23,440
it case study to the compilation proactive success now I want you to contrast that failure with a
577
00:34:23,440 –> 00:34:27,680
model that actually works this second case study involves twelve hundred users in a greenfield
578
00:34:27,680 –> 00:34:32,720
deployment meaning they had a blank slate with no legacy infrastructure or years of bad decisions
579
00:34:32,720 –> 00:34:36,800
they had the same choice as the first group but they chose to prioritize architecture over
580
00:34:36,800 –> 00:34:41,360
immediate gratification they decided on a governance first approach which meant the first thirty days
581
00:34:41,360 –> 00:34:46,080
had nothing to do with provisioning users instead they focused entirely on the entry idea baseline
582
00:34:46,080 –> 00:34:51,040
to define what least privilege actually looked like for their specific needs they identified the core
583
00:34:51,040 –> 00:34:56,080
roles and the permissions those roles required to function rather than granting the permissions
584
00:34:56,080 –> 00:35:03,440
users asked for or the ones that felt safe to a distracted admin naming conventions were established
585
00:35:03,440 –> 00:35:08,880
and enforced before a single team was ever created they set teams to private by default organize
586
00:35:08,880 –> 00:35:13,280
site collections under a strict taxonomy and insured guests couldn’t be added without a formal
587
00:35:13,280 –> 00:35:17,920
request and approval process these weren’t just suggestions written in a pdf they were technical
588
00:35:17,920 –> 00:35:22,560
enforcement built into the system the environment simply wouldn’t allow a user to create a team that
589
00:35:22,560 –> 00:35:26,960
violated the naming standard or share data with everyone by default the system made the right
590
00:35:26,960 –> 00:35:31,680
decisions because it had been told exactly how to behave they handled sensitivity labels with the same
591
00:35:31,680 –> 00:35:36,400
level of foresight rather than waiting for data to pile up they attached labels to default document
592
00:35:36,400 –> 00:35:41,600
libraries before the first file was ever uploaded when a user created a document the correct label
593
00:35:41,600 –> 00:35:46,800
appeared automatically based on where it was stored users could override the label if they had a reason
594
00:35:46,800 –> 00:35:51,120
but the default was always correct ensuring no files grew up unlabeled in the dark
595
00:35:51,760 –> 00:35:56,960
next they layered in the actual policies for dlp conditional access and life cycle management
596
00:35:56,960 –> 00:36:01,680
they didn’t just turn these on in production and hope for the best they tested them in a pilot
597
00:36:01,680 –> 00:36:06,080
environment first they verified that the rules enforced what was necessary without strangling
598
00:36:06,080 –> 00:36:10,960
the actual work people needed to do by the time they brought the 1200 users online at the 90 day
599
00:36:10,960 –> 00:36:16,080
mark the entire infrastructure was active and every enforcement was in place the outcomes of
600
00:36:16,080 –> 00:36:19,600
this proactive work speak for themselves less than three percent of their files were ever
601
00:36:19,600 –> 00:36:24,800
overshared because the system defaulted to private by design sharing a file required a conscious
602
00:36:24,800 –> 00:36:29,600
intentional act from the user which turned exposure into the rare exception rather than the standard
603
00:36:29,600 –> 00:36:34,480
state of the tenant they also had zero often teams because they implemented a life cycle policy
604
00:36:34,480 –> 00:36:38,640
from the start when a team became inactive the system flagged it automatically and notified the
605
00:36:38,640 –> 00:36:42,800
owner if no one confirmed the team was still needed it was archived and removed from the active
606
00:36:42,800 –> 00:36:47,520
environment governance was maintained because the system was designed to prevent accumulation
607
00:36:47,520 –> 00:36:52,160
unless someone made an active choice to keep a resource alive when they deployed co-pilot in month
608
00:36:52,160 –> 00:36:57,600
four there was no crisis and no week 12 stall users received access the tool worked as intended
609
00:36:57,600 –> 00:37:01,680
and every piece of information it surfaced was already properly classified and governed
610
00:37:01,680 –> 00:37:06,160
co-pilot was safe because the system it was searching had been built correctly from the very first hour
611
00:37:06,160 –> 00:37:10,720
the total cost for this success was $90,000 covering the planning architecture and training
612
00:37:10,720 –> 00:37:15,120
it happened once it took 90 days and then it was finished the architectural truth here is that
613
00:37:15,120 –> 00:37:20,560
this organization didn’t just manage Microsoft 365 they compiled it they wrote the rules into the
614
00:37:20,560 –> 00:37:25,920
foundation and the system enforced those rules forever every new user and every new file inherited
615
00:37:25,920 –> 00:37:30,320
that governance automatically meaning the system was making the right decisions by design rather
616
00:37:30,320 –> 00:37:36,640
than by accident this is the distinction that the 27% of successful organizations understand governance
617
00:37:36,640 –> 00:37:41,920
isn’t a phase you get too later it is the operating system of the entire environment when you build
618
00:37:41,920 –> 00:37:46,160
it first the rest of the platform flows through it but when you build it later you spend nearly
619
00:37:46,160 –> 00:37:51,760
$400,000 just to dig yourself out of a hole the difference isn’t about complexity it is entirely
620
00:37:51,760 –> 00:37:56,880
about timing governance in month one is an investment but governance in month 18 is just an expensive
621
00:37:56,880 –> 00:38:01,600
way to fix a system you never should have built that way in the first place the identity foundation
622
00:38:01,600 –> 00:38:06,720
where it actually starts if governance has a true starting point this is it it is not found in your
623
00:38:06,720 –> 00:38:11,840
policy documents your sensitivity labels or your DLP rules it starts with identity in architecture
624
00:38:11,840 –> 00:38:16,800
terms enter ID functions as the authorization compiler every single access decision within
625
00:38:16,800 –> 00:38:22,960
Microsoft 365 must flow through identity whether that is a data access request a sharing event
626
00:38:22,960 –> 00:38:27,760
or a basic permission check everything goes through enter ID the moment you establish an identity
627
00:38:27,760 –> 00:38:32,080
you have actually established the foundation for every single decision that follows this is an
628
00:38:32,080 –> 00:38:36,960
architectural reality rather than a philosophy you simply cannot govern a resource you cannot identify
629
00:38:36,960 –> 00:38:41,600
just as you cannot enforce policy on access you cannot attribute to a specific actor you will
630
00:38:41,600 –> 00:38:47,200
never remediate exposure from users you cannot account for because identity is where the system decides
631
00:38:47,200 –> 00:38:51,840
who gets to do what everything else in your environment is just downstream of that one decision
632
00:38:51,840 –> 00:38:56,480
most organizations make a foundational mistake by treating identity as infrastructure while viewing
633
00:38:56,480 –> 00:39:01,120
governance as a separate task they believe enter ID exists just to provision users get people their
634
00:39:01,120 –> 00:39:06,000
email and grant them access to teams then they try to think about governance later as if it were a
635
00:39:06,000 –> 00:39:10,720
layer sitting on top they assume they can grant access first and then figure out how to govern
636
00:39:10,720 –> 00:39:15,040
that access once it is already in use that logic is completely inverted governance actually
637
00:39:15,040 –> 00:39:20,320
begins with identity when you establish who a user is and define their specific role you have
638
00:39:20,320 –> 00:39:24,800
already established what they should be allowed to access the principle of least privilege does not
639
00:39:24,800 –> 00:39:30,000
mean you restrict access after the fact it means you grant only what the role requires and nothing
640
00:39:30,000 –> 00:39:35,600
more that principle is enforced at the identity level within enter ID before a user ever touches a
641
00:39:35,600 –> 00:39:42,160
single file the distinction between access granted and access justified is everything access granted
642
00:39:42,160 –> 00:39:47,200
just means you gave someone permission by assigning a role or adding them to a group access justified
643
00:39:47,200 –> 00:39:52,720
means that the permission is strictly necessary for them to do their job making it auditable defensible
644
00:39:52,720 –> 00:39:57,200
and tied to a business function instead of a personal favor most organizations are good at
645
00:39:57,200 –> 00:40:02,000
granting access but very few ever justified over permissioning becomes the default state when
646
00:40:02,000 –> 00:40:06,560
identity governance is omitted from the design when a new user joins a department and needs their
647
00:40:06,560 –> 00:40:11,680
files you naturally add them to the department group however that group has likely existed for three
648
00:40:11,680 –> 00:40:16,320
years and has accumulated permissions from every project it ever touched by adding the new user you
649
00:40:16,320 –> 00:40:20,560
have inadvertently given them access to all project files and sensitive resources that have nothing
650
00:40:20,560 –> 00:40:26,000
to do with their current role this architectural erosion happens in days rather than months it only
651
00:40:26,000 –> 00:40:30,480
takes one user and one department group with three years of accumulated permissions to create a gap
652
00:40:30,480 –> 00:40:35,440
when you scale that behavior across 800 users and 20 departments over six years of organizational
653
00:40:35,440 –> 00:40:40,400
evolution you end up with a permission structure that nobody can map or defend you cannot rationalize
654
00:40:40,400 –> 00:40:45,120
the environment except to say that the user is in the group so they have the access this is exactly
655
00:40:45,120 –> 00:40:50,240
why 15% of business critical files end up overshared across the enterprise this does not happen through
656
00:40:50,240 –> 00:40:55,200
malice or simple human error but through identity decisions made without any business justification
657
00:40:55,200 –> 00:40:59,680
users inherited access that access propagated through the system and the system default was to
658
00:40:59,680 –> 00:41:04,160
keep it forever there is a massive architectural cost to this because when identity governance is
659
00:41:04,160 –> 00:41:08,960
ignored fixing the mess requires touching every single resource you have to go through every share
660
00:41:08,960 –> 00:41:15,200
point site every teams channel and every document library to review the rules because those permissions
661
00:41:15,200 –> 00:41:20,160
were never justified when they were created you are forced to review everything manually if identity
662
00:41:20,160 –> 00:41:24,640
had been governed from the start you would have clear role definitions and justified access requirements
663
00:41:24,640 –> 00:41:29,360
for every permission when an employee changes roles the system would simply remove the old permissions
664
00:41:29,360 –> 00:41:33,040
and grant new ones based on the new requirements that process is clean,
665
00:41:33,040 –> 00:41:38,320
auditable and scalable without that governance you are left with conditional chaos when someone
666
00:41:38,320 –> 00:41:42,320
changes roles you likely won’t remove their old permissions because you don’t actually know what
667
00:41:42,320 –> 00:41:46,640
they have you just keep adding new permissions until they have accumulated seven different roles across
668
00:41:46,640 –> 00:41:51,280
the company when you finally perform an audit you will discover that 30% of your organization has
669
00:41:51,280 –> 00:41:56,080
access to things that make no sense for what they do today the cost of fixing identity after the fact
670
00:41:56,080 –> 00:42:00,560
eventually approaches the cost of rebuilding your entire system from scratch you have to review
671
00:42:00,560 –> 00:42:05,520
every user and every group to justify what stays and what goes the labor cost is catastrophic the
672
00:42:05,520 –> 00:42:10,560
risk is high and users will inevitably complain when the access they relied on is suddenly removed
673
00:42:10,560 –> 00:42:15,200
the 27% of organizations that do not stall understood this from the beginning they established
674
00:42:15,200 –> 00:42:20,800
enter ID governance on day one with defined roles and permissions tied strictly to business functions
675
00:42:20,800 –> 00:42:25,280
because access reviews were built into the design the system knows exactly what to remove when
676
00:42:25,280 –> 00:42:30,880
someone moves departments identity becomes the operating system and everything else flows naturally
677
00:42:30,880 –> 00:42:37,040
from it the 73% that pause their rollout treated identity as a simple provisioning tool they granted
678
00:42:37,040 –> 00:42:41,520
access without ever justifying it and by month 18 they realized their foundation was just pure
679
00:42:41,520 –> 00:42:46,320
entropy now they are forced to rebuild the foundation while the building is still occupied this is
680
00:42:46,320 –> 00:42:50,480
the architectural reality of the platform and everything else you build depends on it
681
00:42:52,000 –> 00:42:57,440
the data classification blind spot this is the specific area where most organizations are completely
682
00:42:57,440 –> 00:43:02,720
blind sensitivity labels are the foundation for everything downstream yet many treat them as optional
683
00:43:02,720 –> 00:43:07,600
infrastructure or a simple compliance checkbox only 10% of companies have actually labeled their files
684
00:43:07,600 –> 00:43:12,640
properly which means 90% of organizations are operating with unclassified data that unclassified
685
00:43:12,640 –> 00:43:17,120
data is exactly what creates your intelligence that sensitivity labels are the only way the system
686
00:43:17,120 –> 00:43:22,960
knows what it needs to protect when a file is labeled as confidential that label carries specific rules
687
00:43:22,960 –> 00:43:27,520
regarding who can access it and how it can be shared the label is the policy itself and without it
688
00:43:27,520 –> 00:43:32,720
the file just exists in an unprotected state it remains unclassified and available to anyone who
689
00:43:32,720 –> 00:43:37,600
happens to have access to the location the common blind spot is that organizations think labeling is
690
00:43:37,600 –> 00:43:42,960
just a compliance activity for groups regulated by GDPR or HIPAA they assume that if they aren’t in a
691
00:43:42,960 –> 00:43:48,000
regulated industry they can simply do the labeling later that thinking is inverted because labeling is
692
00:43:48,000 –> 00:43:52,880
actually an architectural requirement it is how the system identifies the data how DLP policies
693
00:43:52,880 –> 00:43:57,840
know what to enforce and how co pilot knows what it can safely process without these labels your data
694
00:43:57,840 –> 00:44:02,640
remains invisible to every policy enforcement mechanism you have in place a DLP policy might be
695
00:44:02,640 –> 00:44:07,120
said to prevent external sharing of financial data but the system has no way of knowing which files
696
00:44:07,120 –> 00:44:11,920
are financial unless someone has classified the file the DLP engine cannot match it to the rule
697
00:44:11,920 –> 00:44:16,800
the policy failed silently the file gets shared and your security rule is never actually enforced
698
00:44:16,800 –> 00:44:20,640
this is the architecture of failure you write your policies and assume you are protected but the
699
00:44:20,640 –> 00:44:26,240
policies have nothing to match against 90% of your data is currently invisible to your DLP policies
700
00:44:26,240 –> 00:44:30,880
and is available to co pilot without any classification attached because there is no label to trigger
701
00:44:30,880 –> 00:44:36,880
enforcement 90% of your files are subject to no actual control when co pilot enters this environment
702
00:44:36,880 –> 00:44:41,520
it begins processing those unlabeled files to generate new responses this is where the problem
703
00:44:41,520 –> 00:44:46,240
gets worse because the AI output does not automatically inherit the label of the source material
704
00:44:46,240 –> 00:44:51,600
if co pilot summarizes a confidential document that summary starts its life with no label at all the
705
00:44:51,600 –> 00:44:56,080
system does not inherently know that the new content is also confidential so the output becomes
706
00:44:56,080 –> 00:45:00,800
unclassified data now you have a derivative summary of sensitive information that carries no
707
00:45:00,800 –> 00:45:05,520
restrictions or protections it can be shared accessed or leaked because it was never classified by
708
00:45:05,520 –> 00:45:10,320
the system this is the definition of intelligence debt where every AI output that isn’t labeled
709
00:45:10,320 –> 00:45:14,560
becomes a brand new governance problem the system created the data but because it doesn’t know what
710
00:45:14,560 –> 00:45:19,840
it is it cannot protect it the result is that DLP policies designed to prevent exposure fail the
711
00:45:19,840 –> 00:45:24,320
moment co pilot touches the data you might think your confidential files are safe but the moment
712
00:45:24,320 –> 00:45:29,280
a summary is generated that protection vanishes the unclassified output can leave your tenant through
713
00:45:29,280 –> 00:45:34,320
a team’s chat or an email because there was no label to trigger a block this is why the 73%
714
00:45:34,320 –> 00:45:39,280
of organizations eventually pause their co pilot rollout it isn’t because the AI is inherently
715
00:45:39,280 –> 00:45:45,280
dangerous but because their data is unclassified unclassified data in an AI system is architecturally
716
00:45:45,280 –> 00:45:50,320
the same as unencrypted data in a database you would never ship a database without encryption
717
00:45:50,320 –> 00:45:56,640
yet many organizations ship AI systems where 90% of the inputs are unclassified the truth is that
718
00:45:56,640 –> 00:46:01,680
you cannot protect what you do not classify and you cannot classify what you do not govern
719
00:46:01,680 –> 00:46:06,000
classification requires a level of intent and a governance structure that enforces it without
720
00:46:06,000 –> 00:46:10,160
that structure labeling becomes an optional task that people ignore and the system defaults to
721
00:46:10,160 –> 00:46:15,680
being unclassified the 27% of successful organizations understood this and enforced labeling before they
722
00:46:15,680 –> 00:46:20,960
ever stored their data they ensured that sensitivity labels came before the content itself so the
723
00:46:20,960 –> 00:46:25,760
system was told everything had to be classified this wasn’t just a policy it was a design choice where
724
00:46:25,760 –> 00:46:30,800
files could not exist without a label the other 73% left their labeling to chance and hope that
725
00:46:30,800 –> 00:46:35,680
employees would do the right thing they didn’t and the resulting intelligence that accumulated until
726
00:46:35,680 –> 00:46:40,480
the exposure became impossible to ignore this is the blind spot that you cannot see until you actually
727
00:46:40,480 –> 00:46:46,320
look for it the shadow it ecosystem you unmanage tenant you likely believe you are operating a single
728
00:46:46,320 –> 00:46:51,280
tenant but the architectural realities that you are actually running several the official
729
00:46:51,280 –> 00:46:56,560
environment is Microsoft 365 which is the one you are currently managing or perhaps just pretending
730
00:46:56,560 –> 00:47:01,360
to manage while the real work happens elsewhere parallel to your sanctioned infrastructure sits the
731
00:47:01,360 –> 00:47:06,800
unofficial tenant which is the one your organization actually relies on to function data suggests the
732
00:47:06,800 –> 00:47:11,600
average organization operates 975 unknown cloud services and these do not exist alongside
733
00:47:11,600 –> 00:47:16,640
Microsoft 365 are supplements they exist instead of it when you scan network traffic and audit
734
00:47:16,640 –> 00:47:22,240
sass access logs you find eight times more services than it even knows exist which is not a measurement
735
00:47:22,240 –> 00:47:27,680
error or a loose estimate it is the inevitable result of users seeking the path of least resistance
736
00:47:27,680 –> 00:47:32,880
when your official tools fail them this is the uncomfortable truth shadow it is not a security problem
737
00:47:32,880 –> 00:47:37,840
but a governance symptom you cannot treat the symptom without understanding the underlying disease
738
00:47:37,840 –> 00:47:43,760
employees adopt these external services because Microsoft 365 is not solving their actual problems
739
00:47:43,760 –> 00:47:48,640
and they feel they cannot control data or move fast enough within your constraints when users cannot
740
00:47:48,640 –> 00:47:53,600
integrate systems or apply the specific governance their department needs they simply solve the problem
741
00:47:53,600 –> 00:47:57,760
themselves they find a tool that works they use it and then they tell a colleague who does the same
742
00:47:57,760 –> 00:48:02,560
until the practice spreads across the entire floor by the time i.t discovers the tool six months
743
00:48:02,560 –> 00:48:08,080
later and writes a policy to ban it the service is already embedded in 17 different departments
744
00:48:08,080 –> 00:48:12,960
because blocking it now would effectively break the business i.t eventually accommodates the risk
745
00:48:12,960 –> 00:48:18,800
documents the exception and accepts the new entropy this cycle repeats 975 times shadow it does
746
00:48:18,800 –> 00:48:23,200
not grow through employee negligence but through a rational response to your governance failure
747
00:48:23,200 –> 00:48:26,560
your organization is telling you through its behavior that your implementation of
748
00:48:26,560 –> 00:48:31,920
Microsoft 365 does not meet its needs yet instead of hearing that message you continue to block
749
00:48:31,920 –> 00:48:37,200
the very tools they use to stay productive shadow AI is the current evolution of the same pattern
750
00:48:37,200 –> 00:48:42,880
employees are now using chat GPT for work Gemini for analysis and Claude for summarization because
751
00:48:42,880 –> 00:48:47,600
your internal governance is either too restrictive or entirely nonexistent they need an AI tool that
752
00:48:47,600 –> 00:48:52,400
moves faster than your bureaucracy so they paste sensitive work data into a public LLM to get the
753
00:48:52,400 –> 00:48:58,320
analysis they need and move on that data is now living outside your tenant outside your DLP and
754
00:48:58,320 –> 00:49:04,080
outside your control forever this shadow AI is far more dangerous than traditional shadow i.t because
755
00:49:04,080 –> 00:49:09,520
it is functionally invisible there is no persistent service to audit a no specific tool to scan for
756
00:49:09,520 –> 00:49:14,640
leaving only browser tabs and transient interactions behind your left with no durable artifact of the
757
00:49:14,640 –> 00:49:19,200
breach except for the data you already uploaded to a third party the cost of this fragmentation is
758
00:49:19,200 –> 00:49:24,320
measurable in data leakage compliance violations and lost visibility you are likely paying a massive
759
00:49:24,320 –> 00:49:29,680
operational tax by funding redundant tools that serve the same functions as the software you are
760
00:49:29,680 –> 00:49:34,960
already licensed for your organization is essentially running two parallel systems which leads to
761
00:49:34,960 –> 00:49:40,400
duplicated work and a fractured workflow that slows everyone down architecturally speaking shadow
762
00:49:40,400 –> 00:49:45,600
i.t exists because your governance team failed to build a functional authorization compiler every
763
00:49:45,600 –> 00:49:50,320
shadow service you find is evidence of a governance gap or an unmet need that you didn’t solve
764
00:49:50,320 –> 00:49:54,800
forcing the organization to solve it for itself the foundational mistake is trying to block these
765
00:49:54,800 –> 00:50:00,640
services without fixing the underlying m365 architecture when you write policies to block personal
766
00:50:00,640 –> 00:50:06,400
email or restrict browser access the shadow ecosystem simply moves deeper underground employees
767
00:50:06,400 –> 00:50:11,120
find workarounds like VPNs and personal devices which causes your visibility to decrease while
768
00:50:11,120 –> 00:50:15,440
your actual risk increases you are treating the symptom without curing the disease by saying no
769
00:50:15,440 –> 00:50:20,640
without offering a viable alternative the 27% of organizations that don’t stall understand that
770
00:50:20,640 –> 00:50:25,760
you don’t stop shadow i.t by blocking it but by eliminating the reason for its existence they made
771
00:50:25,760 –> 00:50:30,560
their official tenants so capable and well architected that employees had no reason to look elsewhere
772
00:50:30,560 –> 00:50:35,280
the 73% that pause are currently drowning in nearly a thousand shadow services because their
773
00:50:35,280 –> 00:50:39,440
official system failed to provide a clear path they cannot block the shadow ecosystem now because
774
00:50:39,440 –> 00:50:44,240
the business depends on it to survive this is what happens when you omit governance from the start
775
00:50:44,240 –> 00:50:49,360
the system decides to build a second infrastructure around you the sprawl effect teams and sites is
776
00:50:49,360 –> 00:50:54,400
entropy when governance does not constrain growth infrastructure behaves like a biological organism
777
00:50:54,400 –> 00:50:59,200
teams proliferate not as a metaphor but as the default behavior of an ungoverned system where
778
00:50:59,200 –> 00:51:04,880
the answer to every request is a silent yes because nothing enforces constraints or asks if a new
779
00:51:04,880 –> 00:51:10,480
team actually needs to exist the system defaults to creation growth and eventual entropy in an
780
00:51:10,480 –> 00:51:15,040
environment without rules teams are created daily and at a rate much faster than they are ever
781
00:51:15,040 –> 00:51:20,320
deleted a project spins up and a team is born but when that project ends the team persists indefinitely
782
00:51:20,320 –> 00:51:24,640
no one deletes it because they might need the history or a specific file later so the container
783
00:51:24,640 –> 00:51:29,520
sits there inactive and accumulating storage costs rise and governance complexity expands yet the
784
00:51:29,520 –> 00:51:33,680
team remains because deletion requires a decision that no one is empowered to make this is
785
00:51:33,680 –> 00:51:38,560
often infrastructure these sites are not abandoned in the traditional sense but they have no owner
786
00:51:38,560 –> 00:51:42,960
and no one responsible for their life cycle they are simply there growing the size of your tenant
787
00:51:42,960 –> 00:51:47,600
and the complexity of your environment without providing any ongoing value the sprawl effect is made
788
00:51:47,600 –> 00:51:52,400
worse by naming conventions that were never enforced by design without rules every new team becomes
789
00:51:52,400 –> 00:51:57,280
a confusing variation of the last leading to a list of final and real versions that make it
790
00:51:57,280 –> 00:52:01,840
impossible to find the source of truth these are not user mistakes but the inevitable result of a
791
00:52:01,840 –> 00:52:06,960
system that offers no enforcement by the 18th month of operation you might have 17 different teams
792
00:52:06,960 –> 00:52:11,680
with projects in the title and no one knows which one contains the active data each of these
793
00:52:11,680 –> 00:52:16,960
teams consumes sharepoint storage and the math of that accumulation is relentless if you have 12 000
794
00:52:16,960 –> 00:52:22,880
teams and nearly 40% are often you are paying to store data in over 4 000 containers that no one has
795
00:52:22,880 –> 00:52:27,280
touched in a year the cost does not arrive in a dramatic spike but in quiet monthly additions
796
00:52:27,280 –> 00:52:31,920
that eventually break the budget complexity is a much larger threat than the storage bill each team
797
00:52:31,920 –> 00:52:36,800
represents a separate authorization context with its own guests sharing rules and accumulated
798
00:52:36,800 –> 00:52:41,360
permissions you cannot manually review 12 000 independent contexts and you certainly cannot maintain
799
00:52:41,360 –> 00:52:45,760
security standards across that much sprawl your admins eventually spend all their time managing the
800
00:52:45,760 –> 00:52:50,640
mess instead of enforcing high level governance the architectural problem here is the total absence of
801
00:52:50,640 –> 00:52:55,680
an expiration policy or a defined life cycle a simple rule could flag in active teams for the owner
802
00:52:55,680 –> 00:53:00,240
and archive them automatically but that requires a governance framework to exist in the first place
803
00:53:00,240 –> 00:53:04,640
without that framework the default state of the system is permanent persistence cleaning up
804
00:53:04,640 –> 00:53:09,280
the sprawl is exponentially harder than preventing it from the start once you hit 12 000 teams
805
00:53:09,280 –> 00:53:13,760
cataloging them becomes a massive project that requires engagement from owners who may have already left
806
00:53:13,760 –> 00:53:18,960
the company deleting anything without confirmation risks losing valuable data so the teams stay
807
00:53:18,960 –> 00:53:24,640
and the sprawl becomes a permanent fixture of your environment the 27% of successful organizations
808
00:53:24,640 –> 00:53:29,440
prevented this by enforcing naming conventions and life cycle policies at the moment of creation
809
00:53:29,440 –> 00:53:34,240
they set teams to private by default and used automation to archive or delete inactive containers
810
00:53:34,240 –> 00:53:38,480
without human intervention the system made the cleanup decisions consistently because it had been
811
00:53:38,480 –> 00:53:44,240
told exactly how to handle entropy the 73% that struggle simply let the containers pile up until
812
00:53:44,240 –> 00:53:49,680
cleanup became an archaeological excavation they are now discovering dependencies they never documented
813
00:53:49,680 –> 00:53:53,840
and paying the high price of governing a system that has already decided to sprawl
814
00:53:53,840 –> 00:53:59,280
this is entropy in its purest form uncontrolled growth and complexity expanding to fill every
815
00:53:59,280 –> 00:54:04,960
available space because the system was allowed to be too permissive the licensing waste paying for
816
00:54:04,960 –> 00:54:09,760
ghosts right now something is happening inside your tenant that you likely haven’t noticed
817
00:54:09,760 –> 00:54:15,360
and it involves you paying for resources that do not actually exist this isn’t a metaphorical problem
818
00:54:15,360 –> 00:54:21,360
or a rounding error it is a literal drain on your budget where 10 to 20% of your total license count
819
00:54:21,360 –> 00:54:26,880
is currently assigned to identities that are inactive over license or simply forgotten by the system
820
00:54:26,880 –> 00:54:31,760
the math behind this architectural erosion is devastatingly simple if you have a thousand users
821
00:54:31,760 –> 00:54:40,000
on an e3 plan at $36 per user your annual spend sits at $432,000 a 15% waste ratio in that environment
822
00:54:40,000 –> 00:54:46,960
means you are handing Microsoft $64,800 every year for licenses that provide zero functional value
823
00:54:46,960 –> 00:54:52,160
to the organization this waste does not stem from simple negligence or a lack of effort by your IT
824
00:54:52,160 –> 00:54:57,680
staff but rather from a total absence of automated governance inactive users represent the first
825
00:54:57,680 –> 00:55:02,000
major category of this financial entropy when an employee leaves the organization and their
826
00:55:02,000 –> 00:55:07,280
account is disabled the license often remains attached to that dead identity because reclaiming it
827
00:55:07,280 –> 00:55:12,160
requires a deliberate manual process someone has to notice the account is disabled someone has to
828
00:55:12,160 –> 00:55:17,040
decide to pull the license and someone has to actually click the button to execute that change in the
829
00:55:17,040 –> 00:55:22,080
absence of a defined workflow the default behavior is to leave the license assigned meaning the user
830
00:55:22,080 –> 00:55:27,040
is gone but the billing persists month after month and year after year it is not uncommon for us to
831
00:55:27,040 –> 00:55:32,160
discover premium licenses still assigned to people who left the company three years ago over licensing is
832
00:55:32,160 –> 00:55:37,920
the second category where costs spiral out of control an e5 license costs $60 per month while an e3
833
00:55:37,920 –> 00:55:44,000
costs 36 creating a $24 gap that represents a 40% price jump most of that premium covers advanced
834
00:55:44,000 –> 00:55:49,360
security features like risk-based access and privileged identity management which are vital for
835
00:55:49,360 –> 00:55:54,720
security sensitive roles but entirely unnecessary for frontline workers or administrative assistance
836
00:55:54,720 –> 00:55:59,760
despite this e5 is frequently treated as the universal default because assigning one high level
837
00:55:59,760 –> 00:56:04,800
license to everyone is easier than auditing who actually needs those specific tools the system defaults
838
00:56:04,800 –> 00:56:09,920
to simplicity and in the Microsoft ecosystem simplicity is an incredibly expensive luxury when
839
00:56:09,920 –> 00:56:16,240
Microsoft announces a price increase like the upcoming 5% bump for e5 this hidden over licensing
840
00:56:16,240 –> 00:56:20,880
suddenly becomes a visible liability that user who never needed the premium features is now
841
00:56:20,880 –> 00:56:25,200
costing you even more than they were yesterday making the waste quantifiable in a way that leadership
842
00:56:25,200 –> 00:56:30,480
can no longer ignore the increase didn’t create the problem it just exposed the inefficiency that was
843
00:56:30,480 –> 00:56:35,040
already baked into your tenant design this is where proactive governance changes the financial
844
00:56:35,040 –> 00:56:40,080
trajectory of the platform if you had established role-based licensing from the start you would know
845
00:56:40,080 –> 00:56:46,000
that accounting team members require e3 with specific add-ons rather than a full e5 suite sales reps
846
00:56:46,000 –> 00:56:50,560
might need e3 paired with power apps but they certainly don’t require defender for identity to
847
00:56:50,560 –> 00:56:54,800
perform their daily tasks if governance had defined these roles at the outset remediation would
848
00:56:54,800 –> 00:56:59,440
be a simple matter of aligning the license to the persona and capturing the savings immediately
849
00:56:59,440 –> 00:57:04,000
without that governance framework you are left with the state of conditional chaos where nobody knows
850
00:57:04,000 –> 00:57:08,800
why specific users have premium access you hesitate to remove licenses because you don’t know if doing
851
00:57:08,800 –> 00:57:13,920
so will break a critical workflow so you conduct a slow manual audit instead by the time you’ve
852
00:57:13,920 –> 00:57:18,560
confirmed that a user doesn’t need their e5 months of overpayment have already vanished into the cloud
853
00:57:18,560 –> 00:57:23,760
you are essentially funding your own inefficiency because efficiency requires a level of architectural intent
854
00:57:23,760 –> 00:57:28,800
that most organizations have chosen to ignore the system isn’t doing this to you you are doing it
855
00:57:28,800 –> 00:57:36,960
to yourself by letting the default settings dictate your spend the dlp failure why policies don’t enforce
856
00:57:36,960 –> 00:57:41,440
this is the specific point where your security policy meets reality and loses the battle you have
857
00:57:41,440 –> 00:57:46,320
likely written extensive data loss prevention rules designed to prevent external sharing of financial
858
00:57:46,320 –> 00:57:51,520
data or to block credit card numbers from leaving via email these rules make the organization feel
859
00:57:51,520 –> 00:57:56,240
protected but in practice they are often completely toothless the foundational mistake is treating
860
00:57:56,240 –> 00:58:00,720
the lp as an independent security control when it is actually a downstream dependency the lp
861
00:58:00,720 –> 00:58:06,000
policies function by matching on signals asking the system if a specific piece of data matches a forbidden
862
00:58:06,000 –> 00:58:11,600
pattern or a specific label if a file is explicitly marked as confidential the policy triggers and
863
00:58:11,600 –> 00:58:16,800
blocks the transfer but if that same data is unlabeled the policy has no signal to act upon because
864
00:58:16,800 –> 00:58:22,720
90% of files in the average tenant are completely unlabeled 90% of your data is effectively invisible to
865
00:58:22,720 –> 00:58:27,520
your security rules this creates an architecture failure where you’ve written rules that only apply
866
00:58:27,520 –> 00:58:32,320
to a tiny fraction of your digital estate the rest of your data moves freely and undetected because
867
00:58:32,320 –> 00:58:37,200
there is no metadata telling the policy what the content actually represents when co-pilot enters
868
00:58:37,200 –> 00:58:43,120
this environment the problem scales exponentially co-pilot processes unclassified data without hesitation
869
00:58:43,120 –> 00:58:48,000
and if a financial forecast isn’t labeled co-pilot won’t know its sensitive and the dlp policy
870
00:58:48,000 –> 00:58:52,800
won’t know to stop the processing the result is the creation of derivative data summaries or
871
00:58:52,800 –> 00:58:58,320
chats generated by AI that inherit the lack of classification from the source material this
872
00:58:58,320 –> 00:59:02,880
sensitive information then gets shared in teams or forwarded in emails because the dlp rule had
873
00:59:02,880 –> 00:59:07,600
nothing to match against during the initial interaction it isn’t that co-pilot bypassed your
874
00:59:07,600 –> 00:59:12,800
security is that your security was waiting for a classification signal that never arrived you cannot
875
00:59:12,800 –> 00:59:17,760
block what you cannot identify and you cannot identify what you haven’t bothered to classify
876
00:59:17,760 –> 00:59:22,960
the root cause of this exposure is almost always internal oversharing statistics show that 83%
877
00:59:22,960 –> 00:59:26,880
of at-risk files are overshared within the organization meaning the users have legitimate
878
00:59:26,880 –> 00:59:31,280
permissions to data they should never have seen dlp is designed to stop unauthorized movement to
879
00:59:31,280 –> 00:59:35,600
external parties but it ignores internal movement where the permission was technically granted
880
00:59:35,600 –> 00:59:40,960
by a flawed site design if a user has access to a folder they shouldn’t dlp sees their activity
881
00:59:40,960 –> 00:59:46,400
as normal and allows the data to be moved copied or manipulated when organizations realize their
882
00:59:46,400 –> 00:59:50,800
data is leaking they usually respond by adding more aggressive constraints and blocking common tools
883
00:59:50,800 –> 00:59:56,000
like dropbox or personal email attachments this creates friction without creating governance which
884
00:59:56,000 –> 01:00:01,200
inevitably forces users to find creative workarounds to get their jobs done they start copying text
885
01:00:01,200 –> 01:00:06,080
into email bodies or downloading files to personal devices moving the behavior into dark corners
886
01:00:06,080 –> 01:00:10,720
of the network where your policies have no visibility at all the blocking doesn’t work because blocking
887
01:00:10,720 –> 01:00:15,840
is not a substitute for architectural intent real governance happens upstream by ensuring that only
888
01:00:15,840 –> 01:00:20,000
the people who truly need access are granted it in the first place this prevents the unauthorized
889
01:00:20,000 –> 01:00:25,040
sharing before it ever reaches the dlp layer removing the users need to seek out a workaround the
890
01:00:25,040 –> 01:00:29,680
architectural requirement is an immutable sequence governance must come first to define access
891
01:00:29,680 –> 01:00:34,640
classification must come second to identify the data and only then can dlp function as an
892
01:00:34,640 –> 01:00:39,440
enforcement mechanism if you skip the first two steps your dlp rules are just writing checks that
893
01:00:39,440 –> 01:00:43,920
your underlying architecture cannot cache the organizations that successfully secure their data
894
01:00:43,920 –> 01:00:49,040
understand this hierarchy while the rest continue to wonder why their expensive security tools keep
895
01:00:49,040 –> 01:00:55,200
failing to stop the bleed the agents sprawl problem AI amplifies everything now we need to address
896
01:00:55,200 –> 01:00:59,920
the specific crisis you likely haven’t encountered yet mostly because it hasn’t fully arrived on
897
01:00:59,920 –> 01:01:04,560
your doorstep it is coming and when it finally hits your environment the impact will be exponentially
898
01:01:04,560 –> 01:01:09,680
more severe than any of the sprawl issues we have already discussed current data shows that 80%
899
01:01:09,680 –> 01:01:14,720
of Fortune 500 companies are already running active AI agents within their ecosystems these are not
900
01:01:14,720 –> 01:01:19,360
basic co-pilot chat interfaces but rather autonomous agents that operate as proxy systems for your
901
01:01:19,360 –> 01:01:24,000
users these entities make independent decisions and access sensitive data to perform complex work
902
01:01:24,000 –> 01:01:28,640
without any human intervention or oversight one million of these agents have already been created
903
01:01:28,640 –> 01:01:33,120
yet they weren’t deployed through a careful pilot or governed by a security framework they were
904
01:01:33,120 –> 01:01:38,800
simply spun up in co-pilot studio the power platform and various azure ai services you now have a
905
01:01:38,800 –> 01:01:44,000
million autonomous systems operating inside Microsoft 365 environments using governance structures
906
01:01:44,000 –> 01:01:49,840
that were built for humans instead of machines by the year 28 iDC projects that we will see 1.3 billion
907
01:01:49,840 –> 01:01:54,400
agents in active use across the global enterprise moving from one million to over a billion
908
01:01:54,400 –> 01:01:59,600
represents a 300 fold increase in entities operating across a cloud infrastructure that was never
909
01:01:59,600 –> 01:02:04,800
designed to manage them this is not a simple matter of scaling up your existing help desk or support
910
01:02:04,800 –> 01:02:09,200
teams because it is a fundamental architectural failure the same broken logic that failed to govern
911
01:02:09,200 –> 01:02:13,920
human sprawl will fail even more catastrophically when it tries to restrain a billion machines most
912
01:02:13,920 –> 01:02:18,240
organizations fail to realize that agents do not solve your underlying governance problems
913
01:02:18,240 –> 01:02:22,880
but instead they actually inherit them when an agent is provisioned it requires data access to be
914
01:02:22,880 –> 01:02:27,760
useful so it naturally inherits the full permission set of the user who created it it can see every
915
01:02:27,760 –> 01:02:32,080
file and folder that the human can see but these agents lack human judgment and the natural
916
01:02:32,080 –> 01:02:36,400
hesitation that keeps a person from opening a file they shouldn’t they do not pause to ask for
917
01:02:36,400 –> 01:02:41,840
permission or double check the sensitivity of a document before they process it they simply access
918
01:02:41,840 –> 01:02:46,640
every single thing they are permitted to touch immediately and at a massive scale an agent can
919
01:02:46,640 –> 01:02:51,520
ingest and process in mere minutes what would normally take a human employee several days to read
920
01:02:51,520 –> 01:02:56,080
this means the over permissioning that already plagues your human users becomes a total catastrophe
921
01:02:56,080 –> 01:03:00,880
when it is multiplied by the speed of an AI consider a scenario where an agent is designed to
922
01:03:00,880 –> 01:03:05,920
analyze sales data and gets provisioned with access to the latest sales forecast while that seems
923
01:03:05,920 –> 01:03:10,880
fine the sales forecast is often stored in a sharepoint site that also houses customer contracts
924
01:03:10,880 –> 01:03:16,400
competitor analysis and sensitive internal margin discussions the agent now has full access to
925
01:03:16,400 –> 01:03:20,800
all of that data not because a developer intended for it to happen but because the underlying
926
01:03:20,800 –> 01:03:24,720
permission structure never plays the constraint on it the agent simply inherited the access that
927
01:03:24,720 –> 01:03:28,800
was already there the system defaulted to being permissive and the agent then amplified that
928
01:03:28,800 –> 01:03:34,160
openness across every data source it could reach if you multiply that single failure by one million
929
01:03:34,160 –> 01:03:39,280
agents you start to see the scope of the intelligence debt you are accruing every one of those agents is
930
01:03:39,280 –> 01:03:43,760
inheriting permissions and accessing data it probably shouldn’t be touching while generating new
931
01:03:43,760 –> 01:03:48,400
outputs based on that information each of those outputs is a new piece of data that is currently
932
01:03:48,400 –> 01:03:53,280
untract unlabeled and completely invisible to your traditional governance tools the architectural
933
01:03:53,280 –> 01:03:58,000
problem that actually matters here is that agents are creators of data rather than just consumers of
934
01:03:58,000 –> 01:04:02,720
it when an agent analyzes a data set and generates a summary report that report constitutes
935
01:04:02,720 –> 01:04:08,240
entirely new data that must live somewhere in your tenant you have to ask who can access that report
936
01:04:08,240 –> 01:04:12,720
whether it is properly labeled and if it correctly inherits the sensitivity of the source data it
937
01:04:12,720 –> 01:04:17,440
was built from in the vast majority of Microsoft 365 environments the answer to those questions is
938
01:04:17,440 –> 01:04:22,560
a resounding no the output is just a raw file that sits unclassified and untract waiting for
939
01:04:22,560 –> 01:04:26,400
anyone with access to that storage location to find it this is how you end up with governance
940
01:04:26,400 –> 01:04:31,280
failures at a massive scale and the problem isn’t even in your source data anymore the failure
941
01:04:31,280 –> 01:04:35,600
lives in the derivative data that the agents created which carries the intelligence of sensitive
942
01:04:35,600 –> 01:04:40,480
sources without carrying any of the original classifications or policies the system scales these
943
01:04:40,480 –> 01:04:45,520
agents simply because it has the technical capacity to do so and there is currently no governance
944
01:04:45,520 –> 01:04:51,280
layer constraining their creation most organizations lack a policy stating that agents require explicit
945
01:04:51,280 –> 01:04:57,120
approval or that they can only touch specific white listed data sources there is no life cycle
946
01:04:57,120 –> 01:05:01,920
management for these entities so the system just decides to create as many as the users ask for
947
01:05:01,920 –> 01:05:07,680
we are moving toward 1.3 billion agents because the system is designed to favor expansion over control
948
01:05:07,680 –> 01:05:11,600
this is the exact moment where entropy stops being a theoretical concept and becomes a
949
01:05:11,600 –> 01:05:16,480
concrete failure of the entire environment we are no longer talking about 12,000 abandoned teams
950
01:05:16,480 –> 01:05:21,200
channels that nobody is managing but rather a billion agents propagating intelligence through your
951
01:05:21,200 –> 01:05:26,160
tenant without a single policy to guide them the timing of this is particularly bad because most of
952
01:05:26,160 –> 01:05:31,120
you haven’t even finished governing your human users yet you are still drowning in teams sprawl
953
01:05:31,120 –> 01:05:36,000
still discovering massive oversharing issues and still trying to roll out sensitivity labels years
954
01:05:36,000 –> 01:05:40,400
after the data was created while you struggle with those basics the system is preparing to drop a
955
01:05:40,400 –> 01:05:46,000
billion agents into that same ungoverned mess the top 27% of architects will see this coming
956
01:05:46,000 –> 01:05:50,960
and realize that agents actually require much stricter governance than humans do because agents are
957
01:05:50,960 –> 01:05:55,920
faster and entirely tireless they will never question a bad decision and will simply execute whatever
958
01:05:55,920 –> 01:06:00,000
they are told to do this means your governance has to be perfect and it has to happen upstream at
959
01:06:00,000 –> 01:06:04,880
the architectural level before the agent is ever allowed to exist the other 73% will miss the
960
01:06:04,880 –> 01:06:10,000
warning signs and deploy agents simply because the feature is available and the business is screaming
961
01:06:10,000 –> 01:06:15,120
for automation somewhere between 6 and 12 months later they will realize these agents are leaking
962
01:06:15,120 –> 01:06:20,160
sensitive reports and moving information through channels that governance never even considered
963
01:06:20,160 –> 01:06:24,080
the cleanup will have to begin all over again but this time you will be trying to fix a
964
01:06:24,080 –> 01:06:28,640
billion scale problem this is the inevitable result of choosing rapid adoption over sound
965
01:06:28,640 –> 01:06:33,680
architecture you start with teams sprawl move into copilot exposure and end up with a total failure
966
01:06:33,680 –> 01:06:38,560
of agent governance each mistake amplifies the one before it proving that the foundation was never
967
01:06:38,560 –> 01:06:43,120
actually built but was merely assumed to exist the system decides how to behave and if you don’t
968
01:06:43,120 –> 01:06:48,080
provide the rules it will always decide to scale your entropy the compliance trap regulations expose
969
01:06:48,080 –> 01:06:52,320
architecture you should view compliance frameworks is nothing more than a way to measure your
970
01:06:52,320 –> 01:06:56,640
accumulated governance debt regulators won’t put it that way but when GDPR auditors show up to
971
01:06:56,640 –> 01:07:00,640
check your data handling they aren’t just looking for violations they are looking for the architecture
972
01:07:00,640 –> 01:07:05,360
you were supposed to build but decided to skip when HIPAA inspectors ask for evidence of your
973
01:07:05,360 –> 01:07:11,440
access controls they aren’t creating new problems for your IT team but are instead exposing the holes
974
01:07:11,440 –> 01:07:16,320
that have been there for years auditors for socks aren’t trying to impose a burden when they ask for
975
01:07:16,320 –> 01:07:21,200
access records as they are simply demanding visibility into a system you have been running in the dark
976
01:07:21,200 –> 01:07:27,360
regulations like the EU AI act GDPR and HIPAA are not just separate sets of rules you bolt onto your
977
01:07:27,360 –> 01:07:31,920
Microsoft 365 tenant they are actually detailed descriptions of what your governance should look like
978
01:07:31,920 –> 01:07:36,240
if it were actually being enforced when you sit down to read these regulations you are essentially
979
01:07:36,240 –> 01:07:40,320
reading an architecture specification for your environment they outline the requirements for data
980
01:07:40,320 –> 01:07:45,360
lineage access justification and controlled data flows that we have been talking about this entire time
981
01:07:45,360 –> 01:07:49,600
the only difference is that these are written as legal requirements instead of architectural choices
982
01:07:49,600 –> 01:07:54,240
during a typical compliance audit the inspector will start by asking to see your data governance
983
01:07:54,240 –> 01:07:59,040
framework and most of the time it simply doesn’t exist when they move to the next question and ask
984
01:07:59,040 –> 01:08:03,920
how you know who accessed specific files you might point them toward your audit logs those logs contain
985
01:08:03,920 –> 01:08:08,880
millions of unsorted and unanalyzed entries that provide no real insight into behavior if they
986
01:08:08,880 –> 01:08:13,600
ask you to identify exactly where customer data is stored you won’t be able to answer without a
987
01:08:13,600 –> 01:08:18,560
manual review of thousands of individual files you might try to show off your DLP policies as a way
988
01:08:18,560 –> 01:08:23,520
to prevent data leaks but those policies are usually written against unclassified data they have
989
01:08:23,520 –> 01:08:27,920
nothing to match against which means they exist on a piece of paper but never actually function in
990
01:08:27,920 –> 01:08:32,720
practice the findings from these auditors are remarkably consistent across every industry and every
991
01:08:32,720 –> 01:08:38,160
size of organization they find a total lack of data lineage no real justification for access
992
01:08:38,160 –> 01:08:42,800
and a complete absence of audit evidence these gaps aren’t unique to your specific company but
993
01:08:42,800 –> 01:08:47,920
are structural failures that occur whenever governance is ignored in favor of speed most organizations
994
01:08:47,920 –> 01:08:52,320
look at the resulting fines as the primary cost of being non-compliant they see a hundred thousand
995
01:08:52,320 –> 01:08:56,640
dollar penalty or a million dollar fine as a quantifiable expense that they can pay once and move on
996
01:08:56,640 –> 01:09:02,000
from in reality those fines are the cheapest part of the entire process the truly expensive consequences
997
01:09:02,000 –> 01:09:06,480
are the ones you can’t see on a balance sheet right away such as mandatory remediation these are
998
01:09:06,480 –> 01:09:10,800
the audit findings that legally force you to go back and do the architecture work you should have done
999
01:09:10,800 –> 01:09:15,360
years ago you end up under consent decrees that mandate massive governance improvements and
1000
01:09:15,360 –> 01:09:19,840
ongoing monitoring that lasts for years the real cost is found in the quarterly audits the endless
1001
01:09:19,840 –> 01:09:25,120
documentation obligations and the constant cycle of testing and retesting this is exactly why 73
1002
01:09:25,120 –> 01:09:29,760
percent of organizations in regulated industries decided to pause their co-pilot rollouts it wasn’t
1003
01:09:29,760 –> 01:09:34,160
because they thought the AI was inherently dangerous but because they knew a compliance audit was
1004
01:09:34,160 –> 01:09:38,960
inevitable they realized that when an auditor asked how they were protecting health information or
1005
01:09:38,960 –> 01:09:43,840
financial data from AI exposure they would have no answer since the governance structure to answer
1006
01:09:43,840 –> 01:09:48,560
that question didn’t exist they chose to stop the deployment rather than create massive regulatory
1007
01:09:48,560 –> 01:09:53,600
exposure the biggest mistake organizations make is trying to get compliant as if it were a project
1008
01:09:53,600 –> 01:09:58,400
with a finish line they hire expensive consultants to write policies and document procedures just so they
1009
01:09:58,400 –> 01:10:02,640
can pass an audit and check a box this is nothing more than compliance theater where you create a
1010
01:10:02,640 –> 01:10:06,800
mountain of paperwork to describe a governance system you don’t actually have the auditor sees a
1011
01:10:06,800 –> 01:10:11,280
document that says you have access controls and audit trails but the underlying system is still
1012
01:10:11,280 –> 01:10:16,720
doing exactly what it has always done it is still creating and sharing data without any classification
1013
01:10:16,720 –> 01:10:21,280
or justification your documentation is just proof that you know what good governance looks like
1014
01:10:21,280 –> 01:10:25,440
not proof that you have actually implemented it there is an uncomfortable truth that regulators
1015
01:10:25,440 –> 01:10:30,720
understand but rarely say out loud compliance is not a layer you can add to a broken system it is
1016
01:10:30,720 –> 01:10:36,240
the natural consequence of having a proper architecture in place from the beginning if your governance is
1017
01:10:36,240 –> 01:10:41,040
built correctly passing an audit becomes an automatic process because the evidence already exists your
1018
01:10:41,040 –> 01:10:45,520
logs show justified access because you handle that at the provisioning stage and your data is
1019
01:10:45,520 –> 01:10:50,240
classified because that happened the moment it was created the audit passes because the system is
1020
01:10:50,240 –> 01:10:55,360
actually compliant in its daily operations not because you wrote a policy manual the 73% of
1021
01:10:55,360 –> 01:11:00,240
companies that paused their rollouts understood this fundamental reality they knew the audit would
1022
01:11:00,240 –> 01:11:04,880
immediately expose the gap between their marketing and their architecture so they chose to wait they
1023
01:11:04,880 –> 01:11:09,600
are building the foundation first so that when they finally deploy the audits will pass because the
1024
01:11:09,600 –> 01:11:16,320
system actually works as intended the 90 day governance blueprint the 27% path here is what
1025
01:11:16,320 –> 01:11:21,600
actually works if you find yourself among the 73% and you are tired of excavating your own
1026
01:11:21,600 –> 01:11:26,400
environment you need the architecture that prevents the mess in the first place this approach is not
1027
01:11:26,400 –> 01:11:31,280
faster than a standard deployment but it is correct and that distinction matters the 27% who never
1028
01:11:31,280 –> 01:11:36,800
stole simply chose to be correct instead of being fast the blueprint requires 90 days divided into
1029
01:11:36,800 –> 01:11:42,320
three distinct phases of 30 days each this isn’t because 30 days is a magic number but because the
1030
01:11:42,320 –> 01:11:46,960
sequence of operations is absolute you start with identity move to classification and finish with
1031
01:11:46,960 –> 01:11:51,520
enforcement you cannot skip these steps or reorder them because the architecture will not hold if
1032
01:11:51,520 –> 01:11:56,720
the foundation is missing phase one covers days one through 30 focusing entirely on your baseline
1033
01:11:56,720 –> 01:12:01,440
assessment and identity foundation everything in the ecosystem flows from this point you must establish
1034
01:12:01,440 –> 01:12:06,400
an entra id governance baseline by defining roles based on actual organizational functions rather
1035
01:12:06,400 –> 01:12:11,360
than arbitrary titles whether someone is an accountant a salesperson or a frontline worker you
1036
01:12:11,360 –> 01:12:16,320
must determine what they actually need to do their job you are not asking them what they want or what
1037
01:12:16,320 –> 01:12:21,760
seems safe you are documenting the specific permissions required for their work to create a
1038
01:12:21,760 –> 01:12:26,880
definitive source of truth once defined you enforce these roles through technical controls like
1039
01:12:26,880 –> 01:12:31,840
entra id conditional access and privilege identity management the system is told exactly which
1040
01:12:31,840 –> 01:12:37,200
permissions a role receives ensuring it gets nothing more and nothing less by doing this you are
1041
01:12:37,200 –> 01:12:41,120
building the authorization compiler and teaching the system how to make decisions on your behalf
1042
01:12:41,120 –> 01:12:45,440
during this first month you also implement naming conventions as strict enforcement rather than
1043
01:12:45,440 –> 01:12:50,000
mere guidelines the system should be configured so it simply won’t allow a team or a site to be
1044
01:12:50,000 –> 01:12:54,400
created if the name violates your structure you aren’t asking users to follow standards you are
1045
01:12:54,400 –> 01:12:58,560
making those standards impossible to violate the system maintains consistency because you’ve
1046
01:12:58,560 –> 01:13:03,840
programmed it to view consistency as a non optional requirement finally you set up access review
1047
01:13:03,840 –> 01:13:08,800
cycles on a quarterly or monthly basis to ensure the system constantly compares assigned access
1048
01:13:08,800 –> 01:13:13,760
to actual needs users who no longer require a permission lose it immediately and roles that have
1049
01:13:13,760 –> 01:13:18,720
accumulated permission creep are cleaned up you are telling the system that drift is unacceptable
1050
01:13:18,720 –> 01:13:24,400
which ensures that entropy never has the chance to accumulate phase two spans days 31 through 60
1051
01:13:24,400 –> 01:13:29,120
focusing on data classification and policy enforcement sensitivity labels come first and you
1052
01:13:29,120 –> 01:13:34,000
must apply them to every sensitive repository including customer data financial records and
1053
01:13:34,000 –> 01:13:39,280
intellectual property you classify at the source rather than trying to fix things retroactively
1054
01:13:39,280 –> 01:13:43,200
when a sharepoint site is created the default label is applied automatically and every
1055
01:13:43,200 –> 01:13:48,320
document stored there inherits that protection so users always know exactly what they are handling
1056
01:13:48,320 –> 01:13:52,640
next you write your data loss prevention policies but you do not deploy them to production yet
1057
01:13:52,640 –> 01:13:56,640
you test them in a non production environment to validate that the policy matches your intent
1058
01:13:56,640 –> 01:14:01,600
and stops violations without breaking legitimate workflows you aren’t writing policies and hoping
1059
01:14:01,600 –> 01:14:07,120
they work you are proving they work before the first bite of live data is affected you also establish
1060
01:14:07,120 –> 01:14:12,400
your purview baseline for audit logging and data lineage telling the system to track every access
1061
01:14:12,400 –> 01:14:17,520
modification and share to build the evidence trail that proves your governance is real phase three
1062
01:14:17,520 –> 01:14:22,960
covers day 61 through 90 focusing on continuous monitoring and readiness this is when you pilot
1063
01:14:22,960 –> 01:14:28,560
co-pilot but you do it within a controlled scope of perhaps 100 low risk sites you watch what the AI
1064
01:14:28,560 –> 01:14:33,680
accesses to validate that your labels are working and your DLP is triggering correctly you aren’t
1065
01:14:33,680 –> 01:14:38,640
betting the entire company on a new tool you are using the tool to stress test your governance
1066
01:14:38,640 –> 01:14:44,320
automated reporting follows covering drift detection over sharing alerts and license waste the system
1067
01:14:44,320 –> 01:14:49,520
is told to watch the environment continuously and report everything it sees you aren’t relying on
1068
01:14:49,520 –> 01:14:54,160
a manual quarterly audit because you are monitoring daily which allows you to catch entropy before
1069
01:14:54,160 –> 01:14:59,120
it can grow to wrap up the 90 days you form an AI governance board with representatives from security
1070
01:14:59,120 –> 01:15:03,840
compliance legal and the business units they meet monthly to review decisions approve policy
1071
01:15:03,840 –> 01:15:08,800
changes and decide on future agent deployments these people aren’t just managing m365 they are
1072
01:15:08,800 –> 01:15:14,000
architecting it to prevent the failures that plague the other 73% after 90 days you aren’t just
1073
01:15:14,000 –> 01:15:18,640
finished you are ready to operate at scale because the governance is structural and the system has
1074
01:15:18,640 –> 01:15:25,120
been taught to decide correctly the authorization compiler how architecture prevents entropy this is
1075
01:15:25,120 –> 01:15:29,920
the mental model that separates the successful 27% from everyone else most organizations view
1076
01:15:29,920 –> 01:15:34,960
governance as a layer like a coat of paint or a piece of furniture you add to a room after the house is
1077
01:15:34,960 –> 01:15:40,000
finished they build the system get it running and then try to bolt on compliance security and oversight
1078
01:15:40,000 –> 01:15:44,880
as an afterthought that perspective is inverted governance is not a layer it is the operating system
1079
01:15:44,880 –> 01:15:49,920
itself it isn’t something you add to the system it is the mechanism that decides what is allowed
1080
01:15:49,920 –> 01:15:54,560
to exist within the system the moment you treat governance as an optional add-on the system
1081
01:15:54,560 –> 01:15:59,280
effectively decides to be ungoverned you should think of this as an authorization compiler in the
1082
01:15:59,280 –> 01:16:04,240
world of software a compiler takes code and translates it into instructions the system can execute
1083
01:16:04,240 –> 01:16:09,360
but it also decides what is valid if the code breaks a rule the compiler rejects it at compile time
1084
01:16:09,360 –> 01:16:13,440
rather than waiting for the program to crash later governance works the same way when every access
1085
01:16:13,440 –> 01:16:18,640
decision flows through policy instead of around it when a user tries to open a file the authorization
1086
01:16:18,640 –> 01:16:23,920
compiler evaluates the request before access is ever granted it asks if the user is authorized if
1087
01:16:23,920 –> 01:16:28,880
their role permits the action and if the data classification allows it the decision is made
1088
01:16:28,880 –> 01:16:33,360
upfront which means the system is architecturally incapable of allowing unauthorized access the
1089
01:16:33,360 –> 01:16:38,480
sequence of identity data classification policy enforcement and audit trail is immutable if you skip
1090
01:16:38,480 –> 01:16:42,560
identity you don’t know who the user is and you cannot make a decision about someone you haven’t
1091
01:16:42,560 –> 01:16:47,840
identified if you skip classification your dlp policies have nothing to match an authorization
1092
01:16:47,840 –> 01:16:51,680
becomes nothing more than guesswork if you skip enforcement your rules are just comments that the
1093
01:16:51,680 –> 01:16:56,800
system ignores and if you skip the audit trail you have no evidence to defend your decisions the 27
1094
01:16:56,800 –> 01:17:01,440
percent understand that governance is the system deciding how it works from the very beginning
1095
01:17:01,440 –> 01:17:05,760
when you establish this foundation first every new user and every new document inherits those rules
1096
01:17:05,760 –> 01:17:10,640
automatically a user cannot access something that violates policy because the authorization compiler
1097
01:17:10,640 –> 01:17:15,280
has already determined what they are allowed to touch the system thinks correctly because it was
1098
01:17:15,280 –> 01:17:19,840
designed to do so when a user tries to share a document the compiler checks the recipient the
1099
01:17:19,840 –> 01:17:25,280
classification and the dlp rules before the share happens the system prevents the violation rather
1100
01:17:25,280 –> 01:17:31,360
than just reporting it after the damage is done this is exactly why the 27 percent never experience
1101
01:17:31,360 –> 01:17:37,840
a copilot stall their architecture prevents exposure by design when copilot generates a new response
1102
01:17:37,840 –> 01:17:43,440
that output inherits the same labels and constraints as the source data the 73 percent fail because
1103
01:17:43,440 –> 01:17:48,880
they try to retrofit an authorization compiler onto infrastructure that has already made thousands
1104
01:17:48,880 –> 01:17:54,880
of ungoverned decisions they have teams without naming standards and data that was overshared years ago
1105
01:17:54,880 –> 01:17:59,920
and now they are trying to force rules onto a permissive environment it doesn’t work because the
1106
01:17:59,920 –> 01:18:04,640
system has already decided to be open architecture prevents entropy and the only way to win is to
1107
01:18:04,640 –> 01:18:09,360
ensure the system decides correctly because it was designed that way from day one the remediation
1108
01:18:09,360 –> 01:18:14,960
reality what you’re actually paying for if you belong to that 73 percent we need to talk about
1109
01:18:14,960 –> 01:18:19,680
what a cleanup actually costs your organization i am not just talking about the price tags on the
1110
01:18:19,680 –> 01:18:24,480
software or the invoices from the vendors we are looking at the true cost that accumulates across
1111
01:18:24,480 –> 01:18:28,720
every single department while you are busy excavating your failed governance let’s start with the
1112
01:18:28,720 –> 01:18:33,360
direct costs of consulting you are going to hire an external firm to come in and explain exactly
1113
01:18:33,360 –> 01:18:38,400
where you went wrong which means they will audit your tenant and catalog every instance of oversharing
1114
01:18:38,400 –> 01:18:43,280
they will track down orphaned sites and review your license waste eventually handing you a massive
1115
01:18:43,280 –> 01:18:48,000
report that estimates your total exposure a basic hundred hour engagement usually starts around
1116
01:18:48,000 –> 01:18:52,320
fifty thousand dollars but that number easily climbs to a quarter of a million if they are doing a
1117
01:18:52,320 –> 01:18:56,560
deep dive you have to pay for this comprehensive work because you never established a baseline so
1118
01:18:56,560 –> 01:19:01,280
you are essentially paying a premium for someone else to tell you what you should have known from day one
1119
01:19:01,280 –> 01:19:06,320
tooling is the next line item on the bill while you have the basic Microsoft 365 admin tools
1120
01:19:06,320 –> 01:19:11,040
they simply do not provide the visibility required for a real remediation effort you need real
1121
01:19:11,040 –> 01:19:16,560
time dashboards and oversharing reports that can actually trigger drift detection or automated fixes
1122
01:19:16,560 –> 01:19:21,200
this usually requires third party platforms like manage engine or admin droid to consolidate data
1123
01:19:21,200 –> 01:19:26,960
across entra exchange and sharepoint these subscriptions will run you anywhere from eight to twenty
1124
01:19:26,960 –> 01:19:31,680
thousand dollars a year and that is before you factor in the time for setup training and integrating
1125
01:19:31,680 –> 01:19:36,560
them with your existing stack then we have license optimization which is the part of the process where
1126
01:19:36,560 –> 01:19:41,840
you realize you have been lighting money on fire you will find inactive accounts over licensed roles
1127
01:19:41,840 –> 01:19:46,320
and services that nobody has touched in years if you are ruthless you can probably recover
1128
01:19:46,320 –> 01:19:50,800
10 to 20 percent of your licensing spend which adds up to about one hundred forty four thousand
1129
01:19:50,800 –> 01:19:55,600
dollars a year for a four thousand seed e3 environment that is a significant amount of money to get
1130
01:19:55,600 –> 01:20:00,720
back but you cannot recover it without paying for the discovery process first and you certainly aren’t
1131
01:20:00,720 –> 01:20:06,240
getting a refund for the thousands you wasted while those licenses set idle the rule expense however
1132
01:20:06,240 –> 01:20:11,120
lives within your labor costs while this remediation is happening your internal teams are effectively
1133
01:20:11,120 –> 01:20:16,160
frozen in place they aren’t deploying new services or optimizing workflows because they are too busy
1134
01:20:16,160 –> 01:20:21,040
fixing the past if you dedicate a team of six to nine people for the better part of a year you are
1135
01:20:21,040 –> 01:20:25,440
looking at nearly a million dollars in internal labor alone that is capital you aren’t spending on
1136
01:20:25,440 –> 01:20:30,320
innovation and it represents a massive amount of work that is being deferred while you repair
1137
01:20:30,320 –> 01:20:35,760
infrastructure that should have been architected correctly from the start external expertise is
1138
01:20:35,760 –> 01:20:40,880
even more punishing on the budget most organizations simply do not have the internal knowledge to fix
1139
01:20:40,880 –> 01:20:45,440
a systemic governance collapse so they have to hire architects and specialists who command three hundred
1140
01:20:45,440 –> 01:20:49,840
dollars an hour a nine month engagement with these experts can easily run half a million dollars
1141
01:20:49,840 –> 01:20:54,240
and those costs only go up if they discover major security exposures during the process these
1142
01:20:54,240 –> 01:20:58,320
opportunity costs continue to compound as projects are deferred and new capabilities are delayed
1143
01:20:58,320 –> 01:21:02,400
your teams will spend their afternoons in meetings complaining that they can’t get the access they
1144
01:21:02,400 –> 01:21:06,800
need because you are trying to implement governance retroactively support tickets will multiply as
1145
01:21:06,800 –> 01:21:11,520
users ask why they were removed from groups or when their access will return every single one of
1146
01:21:11,520 –> 01:21:16,640
those tickets is overhead and every exception you grant just to stop the complaining is more architectural
1147
01:21:16,640 –> 01:21:21,760
debt added to the pile user friction creates a cost that is very real even if it remains invisible
1148
01:21:21,760 –> 01:21:26,400
on a spreadsheet productive employees become less effective when they are frustrated by access
1149
01:21:26,400 –> 01:21:31,920
restrictions or confused by policies that feel like arbitrary bureaucracy while the productivity hit
1150
01:21:31,920 –> 01:21:36,880
might seem small for one person when you multiply that frustration across thousands of users over nine
1151
01:21:36,880 –> 01:21:41,520
months the impact is massive that nine month timeline is actually the best case scenario it assumes
1152
01:21:41,520 –> 01:21:46,080
that no complications arise and that you don’t find any terrifying data exposures in the middle of
1153
01:21:46,080 –> 01:21:50,720
the cleanup if the organization doesn’t cooperate or if you have to pause to investigate an incident
1154
01:21:50,720 –> 01:21:55,200
you are looking at 18 months of work when you do the financial math the numbers are staggering
1155
01:21:55,200 –> 01:22:00,880
between consulting tooling and labor a mid-sized organization is looking at a total bill of about
1156
01:22:00,880 –> 01:22:06,720
1.7 million dollars for a larger enterprise with 4,000 users that number jumps to 5 million that is
1157
01:22:06,720 –> 01:22:13,040
the price of doing it wrong and it is exactly why the successful 27% spent 90,000 dollars upfront
1158
01:22:13,040 –> 01:22:17,440
to save millions in the long run you are trying to rebuild the decision engine while the system is
1159
01:22:17,440 –> 01:22:22,240
still running and because the data never stops flowing you are forced to rewrite the rules while
1160
01:22:22,240 –> 01:22:27,200
the game is being played the entropy principle why this pattern is inevitable i want to explain why
1161
01:22:27,200 –> 01:22:31,680
the specific pattern of failure isn’t just a common mistake in architectural terms it is a law
1162
01:22:31,680 –> 01:22:37,280
entropy always increases in ungoverned systems and that isn’t just a management cliche it is a
1163
01:22:37,280 –> 01:22:42,080
fundamental rule of physics you can choose to fight it or you can choose to accept it but you cannot
1164
01:22:42,080 –> 01:22:47,200
change the fact that order decays and complexity increases over time unless you are continuously
1165
01:22:47,200 –> 01:22:52,160
applying energy to maintain order your system will always trend toward total disorder this is the
1166
01:22:52,160 –> 01:22:57,200
reason 73% of organizations fall into the same trap it isn’t because the admins are incompetent or
1167
01:22:57,200 –> 01:23:01,280
because they didn’t try to do a good job it is because they built a system that trends toward entropy
1168
01:23:01,280 –> 01:23:05,840
by default in the Microsoft ecosystem the default state is creation without any constraint and
1169
01:23:05,840 –> 01:23:10,320
sharing without any justification entropy isn’t something that happens to you by accident it is
1170
01:23:10,320 –> 01:23:14,960
simply what the system does when you fail to give it specific instructions when governance is missing
1171
01:23:14,960 –> 01:23:19,920
the system makes the decision to be maximally permissive sites default to public groups default to
1172
01:23:19,920 –> 01:23:25,120
everyone and permissions are granted by default because that is the path of least resistance the system
1173
01:23:25,120 –> 01:23:29,520
chooses the option that requires no human decision and enables the most activity which also happens
1174
01:23:29,520 –> 01:23:34,000
to be the choice that generates the most entropy you could have told the system to be restrictive from
1175
01:23:34,000 –> 01:23:38,720
the start you could have made sites private and required explicit permission for every single share
1176
01:23:38,720 –> 01:23:43,840
but that would have required architecture and hard decisions most organizations skip those decisions
1177
01:23:43,840 –> 01:23:48,080
so the system decides for them and it always chooses to be permissive there is a timing problem
1178
01:23:48,080 –> 01:23:53,680
here that masks the danger entropy usually doesn’t become visible for about 18 months which creates a
1179
01:23:53,680 –> 01:23:58,320
dangerous lag in your perception of risk in the first month everything looks clean because you
1180
01:23:58,320 –> 01:24:03,120
haven’t grown enough for the lack of governance to matter by month six you might have 2000 teams and
1181
01:24:03,120 –> 01:24:07,280
thousands of files but because workflows are functioning and nobody is complaining you think the
1182
01:24:07,280 –> 01:24:12,480
system is working by the time you hit the one-year mark the orphaned sites have accumulated and the
1183
01:24:12,480 –> 01:24:18,160
permissions brawl has become the norm when you finally reach 18 months the disorder is undeniable but by
1184
01:24:18,160 –> 01:24:22,960
then it is baked into your infrastructure your users now depend on that chaos to do their jobs so
1185
01:24:22,960 –> 01:24:28,080
undoing it causes massive disruption the entropy becomes your new baseline this is exactly why the
1186
01:24:28,080 –> 01:24:33,600
governance pause always happens a few weeks into a copilot rollout copilot doesn’t break your system
1187
01:24:33,600 –> 01:24:37,360
it just surfaces the data that was already there and shows you what your permissions actually
1188
01:24:37,360 –> 01:24:41,440
look like it demonstrates the oversharing that nobody wanted to talk about because it wasn’t obvious
1189
01:24:41,440 –> 01:24:46,000
to the naked eye the entropy was always present in the background but copilot made it impossible to
1190
01:24:46,000 –> 01:24:51,040
ignore forcing organizations to stop everything and fix a system that was already broken the architectural
1191
01:24:51,040 –> 01:24:55,360
inevitability is that a system will never create governance retroactively on its own instead it
1192
01:24:55,360 –> 01:25:00,720
just accelerates the entropy as you add more users more data and more integrations every new service
1193
01:25:00,720 –> 01:25:05,120
you turn on increases the surface area for disorder and makes the eventual cleanup much harder to
1194
01:25:05,120 –> 01:25:10,080
execute the system is trending toward maximum entropy and it will not stop until it is forced to
1195
01:25:10,080 –> 01:25:15,440
the successful 27% interrupted this cycle before it could start they didn’t wait for the disorder to
1196
01:25:15,440 –> 01:25:20,720
become unbearable they built the governance before the system had a chance to decay they gave the
1197
01:25:20,720 –> 01:25:26,160
system instructions to classify track and enforce and the system listened because it had been given a
1198
01:25:26,160 –> 01:25:31,200
framework in the absence of those instructions these systems are effectively stupid they don’t plan
1199
01:25:31,200 –> 01:25:35,920
for the future or optimize for security they just do what they were built to do which is to be as
1200
01:25:35,920 –> 01:25:40,400
permissive as possible this pattern is inevitable because systems make predictable choices without a
1201
01:25:40,400 –> 01:25:45,440
governing architecture a system will always expand to fill all available space and default to the
1202
01:25:45,440 –> 01:25:50,000
simplest most dangerous options you can only interrupt this process by telling the system how to
1203
01:25:50,000 –> 01:25:54,480
decide and by enforcing your assumptions at scale the organizations that fail to do this aren’t
1204
01:25:54,480 –> 01:25:59,840
just unlucky they are simply watching the laws of physics play out in their tenant the linked in
1205
01:25:59,840 –> 01:26:04,560
follow architectural clarity if this breakdown has made you feel a little uncomfortable then we are
1206
01:26:04,560 –> 01:26:09,040
finally starting to talk about real architecture that discomfort is actually a data point you are
1207
01:26:09,040 –> 01:26:13,680
starting to recognize your own tenant inside these failure patterns and you are seeing the messy
1208
01:26:13,680 –> 01:26:18,000
teams environments you never actually cleaned up you are noticing the oversharing that stayed
1209
01:26:18,000 –> 01:26:22,080
under the radar for years and you are realizing that the governance you thought you had simply does
1210
01:26:22,080 –> 01:26:26,800
not exist that recognition is the necessary first step toward fixing it because that feeling of
1211
01:26:26,800 –> 01:26:32,160
an ease is the exact moment before a high stakes decision is made you have two choices here you either
1212
01:26:32,160 –> 01:26:36,800
accept the inevitable entropy of the system or you decide to build actual governance there is no
1213
01:26:36,800 –> 01:26:40,800
middle ground to hide in because you cannot have a little bit of governance anymore then you can have
1214
01:26:40,800 –> 01:26:45,440
a partially functioning structural foundation governance is an architectural reality that either
1215
01:26:45,440 –> 01:26:50,480
exists in your environment or it does not and what happens next is entirely up to your leadership
1216
01:26:50,480 –> 01:26:54,880
you have the option to remediate these issues proactively right now by building the architecture your
1217
01:26:54,880 –> 01:27:00,000
organization actually requires that might mean paying $90,000 and waiting 90 days but you will
1218
01:27:00,000 –> 01:27:04,480
emerge with a system that actually works as intended the alternative is to wait and let the entropy
1219
01:27:04,480 –> 01:27:09,120
accumulate until you deploy co-pilot and experience the inevitable project stall when that happens
1220
01:27:09,120 –> 01:27:14,160
you will be forced to remediate under extreme pressure which usually costs about $1.7 million
1221
01:27:14,160 –> 01:27:18,720
and nine months of digital excavation you will eventually emerge from that process but your
1222
01:27:18,720 –> 01:27:23,200
organization and your reputation will be visibly damaged the choice is a simple binary you can invest
1223
01:27:23,200 –> 01:27:27,600
in correct architecture now or you can pay for expensive archaeology later that is exactly what
1224
01:27:27,600 –> 01:27:32,960
I use LinkedIn for I am not posting quick tips or surface level tutorials or generic content designed
1225
01:27:32,960 –> 01:27:38,160
for clicks I provide architectural clarity through weekly breakdowns of why these massive systems fail
1226
01:27:38,160 –> 01:27:43,520
and what the top 27% of organizations are doing differently I focus on how to think about Microsoft
1227
01:27:43,520 –> 01:27:48,560
365 as a rigid architecture instead of just a collection of cool features the real value is in
1228
01:27:48,560 –> 01:27:52,720
understanding the weaknesses of your own tenant before the system decides to expose them to your
1229
01:27:52,720 –> 01:27:57,600
users you need to see the flaws before the co-pilot stall happens before the compliance audit fails
1230
01:27:57,600 –> 01:28:02,480
and before the entropy becomes undeniable I do not teach people how to use Microsoft 365 because
1231
01:28:02,480 –> 01:28:07,440
I spend my time explaining why it fails follow me on LinkedIn if you want to understand the architectural
1232
01:28:07,440 –> 01:28:12,560
reality of what is actually happening inside your tenant the uncomfortable close what this means for
1233
01:28:12,560 –> 01:28:17,040
you we should be very clear about what we just walked through together you just listen to a detail
1234
01:28:17,040 –> 01:28:21,680
autopsy of a governance failure and this was not some theoretical problem or a worst case scenario
1235
01:28:21,680 –> 01:28:26,720
this was an autopsy of what is happening inside 73% of organizations at this very moment while you
1236
01:28:26,720 –> 01:28:31,680
are listening to these words your tenant is sprawling and your team is likely preparing for a co-pilot
1237
01:28:31,680 –> 01:28:37,280
deployment while entropy decides your future the people in that 73% group are not incompetent or
1238
01:28:37,280 –> 01:28:42,080
negligent but they simply followed the path that felt right during the first month of the project
1239
01:28:42,080 –> 01:28:46,640
they chose to deploy quickly to get value fast and they told themselves they would worry about
1240
01:28:46,640 –> 01:28:50,960
the governance side of things later that is a perfectly rational strategy for the first six months of
1241
01:28:50,960 –> 01:28:56,800
a rollout but it becomes a catastrophic strategy once you hit the 18 month mark nobody seems to know
1242
01:28:56,800 –> 01:29:01,440
that during month one so they choose adoption and speed because those are the parts of least resistance
1243
01:29:01,440 –> 01:29:06,000
the system rewards them for those choices at first because usage numbers go up and the business
1244
01:29:06,000 –> 01:29:11,200
celebrates what looks like a massive success the 27% who succeeded made a fundamentally different
1245
01:29:11,200 –> 01:29:16,400
choice by prioritizing architecture over immediate adoption they chose to slow down and build the
1246
01:29:16,400 –> 01:29:20,400
governance framework first which meant they didn’t even start the second phase of deployment
1247
01:29:20,400 –> 01:29:25,920
until the foundation was set that choice felt wrong during month one because their usage numbers were
1248
01:29:25,920 –> 01:29:30,400
lower and the business started questioning the entire investment executives wanted to know why
1249
01:29:30,400 –> 01:29:34,560
they were paying for infrastructure that wasn’t producing immediate value and they wondered why
1250
01:29:34,560 –> 01:29:39,520
they were waiting to deploy when they could be generating ROI today it is a much harder sell that
1251
01:29:39,520 –> 01:29:44,640
requires a slower timeline and a bigger upfront investment but the payoff arrives by month nine
1252
01:29:44,640 –> 01:29:50,000
while the 27% were deploying their tools without a single pause the other 73% were being forced to stop
1253
01:29:50,000 –> 01:29:55,680
their co-pilot pilots entirely the architectural choice that felt wrong in month one became the only
1254
01:29:55,680 –> 01:30:00,400
thing that mattered by month six the most important thing to understand about your current state is that
1255
01:30:00,400 –> 01:30:04,960
entropy is already accumulating in your system you do not need to deploy co-pilot to know this is
1256
01:30:04,960 –> 01:30:10,080
happening and you do not need to hit a project stall to understand the gravity of the situation
1257
01:30:10,080 –> 01:30:14,560
oversharing is happening right now and permission sprawl is compounding alongside shadowite
1258
01:30:14,560 –> 01:30:19,600
and massive license waste this entropy is not a theoretical concept but an active force that is
1259
01:30:19,600 –> 01:30:24,000
not going to stop growing on its own you are standing at a decision point but it is not the decision
1260
01:30:24,000 –> 01:30:28,560
point you probably think it is you are no longer choosing between a fast deployment and a slow
1261
01:30:28,560 –> 01:30:33,840
governance model because that decision was already made back in month one now you are choosing between
1262
01:30:33,840 –> 01:30:38,240
remediating your environment today or remediating it later under extreme executive pressure you are
1263
01:30:38,240 –> 01:30:42,320
deciding if you want to fix the foundation before it becomes visible to the board or if you want to
1264
01:30:42,320 –> 01:30:47,680
fix it after co-pilot exposes the rot to everyone this is the real decision that determines how much
1265
01:30:47,680 –> 01:30:51,920
money you are going to lose if you choose to remediate now you are making a disciplined investment
1266
01:30:51,920 –> 01:30:57,120
in architectural rigor and policy enforcement you spend 90 days focusing on sensitivity labels and
1267
01:30:57,120 –> 01:31:02,400
access reviews and you pay the $90,000 required to get it right because you did that work co-pilot
1268
01:31:02,400 –> 01:31:07,840
deploys without a pause your licensing stays optimized and your compliance audits pass without issue
1269
01:31:07,840 –> 01:31:12,160
the entropy that was going to destroy your project is prevented before it ever has a chance to take
1270
01:31:12,160 –> 01:31:16,880
root if you choose to wait you are simply deferring a much larger cost until month six arrives
1271
01:31:16,880 –> 01:31:21,920
and the co-pilot rollout stalls once the oversharing becomes undeniable you will be forced to pause
1272
01:31:21,920 –> 01:31:27,120
and investigate the full scope of the problem nine months later you will have spent $1.7 million
1273
01:31:27,120 –> 01:31:31,920
to end up with the exact same governance architecture you could have built today the difference is
1274
01:31:31,920 –> 01:31:37,120
that you will also have massive business disruption and expensive incident response and regulatory
1275
01:31:37,120 –> 01:31:42,160
exposure that you cannot undo you will have frustrated your users and lost months of opportunity
1276
01:31:42,160 –> 01:31:46,960
just to reach the same end state at four times the original cost there is no magic workaround or
1277
01:31:46,960 –> 01:31:51,840
secret solution that allows you to have a fast deployment without a governance foundation you will
1278
01:31:51,840 –> 01:31:56,720
discover this truth every single time you try to bypass the rules of architecture you will deploy
1279
01:31:56,720 –> 01:32:00,880
you will hit the wall of entropy and you will be forced to pause and remediate before you can move
1280
01:32:00,880 –> 01:32:05,200
forward again the system is effectively predicting your future and in my experience the system is
1281
01:32:05,200 –> 01:32:09,920
rarely wrong the uncomfortable part of this discussion is not the information itself but the
1282
01:32:09,920 –> 01:32:14,240
recognition of your own reality you are seeing your own tenant in these statistics and you are
1283
01:32:14,240 –> 01:32:19,040
finally understanding why the co-pilot pause was always inevitable given your current architecture
1284
01:32:19,040 –> 01:32:23,280
and the lack of governance that pause is already waiting for you the only real question is whether
1285
01:32:23,280 –> 01:32:27,600
you are going to meet that moment proactively or reactively you have to decide if you are going to
1286
01:32:27,600 –> 01:32:32,480
interrupt this pattern or simply inherit the failure you can choose to build architecture now
1287
01:32:32,480 –> 01:32:37,280
or you can wait to excavate it later but what you do in the next 30 days will determine your next
1288
01:32:37,280 –> 01:32:43,600
nine months i do not teach Microsoft 365 because my job is to explain why it inevitably fails the 73
1289
01:32:43,600 –> 01:32:48,400
percent will eventually remediate their environments but they will do it under extreme pressure and at a
1290
01:32:48,400 –> 01:32:53,600
massive cost after their data is already exposed this happens because the system decided for them
1291
01:32:53,600 –> 01:32:58,640
the 27 percent succeeded because they understood that governance is not an optional add-on
1292
01:32:58,640 –> 01:33:03,840
but rather the foundation of the entire architecture so they built it first the system always decides
1293
01:33:03,840 –> 01:33:08,160
if you fail to tell the engine how to make those choices it defaults to entropy everything that
1294
01:33:08,160 –> 01:33:12,960
followed for that 73 percent was just the system collapsing under its own weight which is not a
1295
01:33:12,960 –> 01:33:17,920
failure but a law of architectural inevitability follow me on linkedin if you want to understand
1296
01:33:17,920 –> 01:33:20,640
what is actually happening inside your tenant
