AI Platform Governance · Microsoft 365 Copilot

Copilot can already read everything your users can. Including what they shouldn't.

M365 Copilot honours your existing Microsoft 365 permissions — which is exactly the problem. Every over-shared SharePoint site, stale group membership and forgotten Teams file becomes searchable in natural language, at conversational speed, by anyone with a licence. Govern360 maps that exposure, compiles restrictions into Purview and Intune, and keeps the evidence that they were applied.

The M365 Copilot governance gap. Copilot respects Microsoft 365 permissions — it does not repair them. Purview, Restricted SharePoint Search and Intune give you the levers. Nothing in the native stack tells you which levers to pull for AI specifically, confirms the change actually landed, or turns any of it into evidence an auditor will accept. That translation step is the gap Govern360 fills.

What the native controls give you — and where they stop

Microsoft ships real governance primitives. They were built for documents and devices, not for an answer engine sitting on top of both.

Permissions are honoured, not corrected

Copilot returns whatever the user already had rights to. Years of over-permissive SharePoint sites and open Teams channels were survivable when finding a file required knowing it existed. Natural-language retrieval removes that friction.

Purview gives labels; scoping is on you

Sensitivity labels and DLP work well once applied. Deciding which content matters for AI exposure, in what order, and proving the label took effect is manual work no console does for you.

Usage reports, not attribution

Graph reports show who used Copilot and how often. They do not attribute consumption to a team, cost centre or budget, which is the number your CFO asks for first.

Agents widen the surface

Declarative agents and Copilot Studio agents extend Copilot beyond chat into connectors and data sources, each with its own reach, owner and lifecycle — or lack of one.

Audit events, not evidence

The unified audit log records events. An EU AI Act or ISO 42001 auditor asks for a control mapped to an obligation with proof of continuous operation. Those are different artefacts.

Metered consumption, no budget

Consumption-based Copilot and agent usage bills after the fact. There is no native per-team ceiling, forecast or anomaly alert before the invoice lands.

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Sample estate is all it takes to surface a compensation file that has been over-shared since 2019Illustrative of a typical tenant with legacy SharePoint sprawl. Your findings reflect your environment.

What Govern360 adds for M365 Copilot

Designed to close the distance between what Copilot can reach and what your policy actually says it should.

Data Posture — Purview to AI exposure map

Built to translate your Purview classification into a map of what Copilot can actually reach, ranked by sensitivity and by the over-sharing path that exposed it — so remediation starts with the file that matters, not the alphabetical first.

Policy compiled into Purview and Intune

Write the rule in plain English once. Govern360 compiles it into native configuration for the planes you already operate, then reports the honest deployment state rather than assuming success.

Per-team Copilot consumption

Copilot and agent consumption attributed to users, teams and cost centres, rolled into an Executive AI Bill with budgets that alert before the invoice. Budgets alert and record evidence; they do not block usage.

Response Scan — inbound AI DLP

Outbound DLP checks what people send. Response Scan is designed to inspect what Copilot sends back, which is where over-shared data actually surfaces.

Behavioural risk signals

Patterns worth a human look: bulk retrieval of regulated content, prompts probing for compensation or M&A material, or a spike from an account after a role change.

Evidence across six frameworks

Controls mapped to EU AI Act, ISO 42001, NIST AI RMF, SOC 2, HIPAA and GDPR, with the evidence generated as a by-product of enforcement rather than assembled the week before an audit.

How it connects

Read-only, roughly five minutes. No agent to deploy, no standing write credentials handed over.

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Connect Microsoft Graph, read-only

Delegated read-only consent to the Copilot usage reports, Entra directory and audit signals. Your first AI inventory typically returns within hours.

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Connect Purview and Intune

Classification and device posture flow in as read-only signal. They become the enforcement planes when policy is compiled back out.

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Compile, review, then apply

Govern360 produces the native configuration and a diff. A human reviews and applies it. Govern360 never auto-remediates and holds no standing write credentials into your tenant.

No false greens. Govern360 reports every compiled control in one of three honest states: Compiled, Marked applied, or Verified. Verified is shown only where the platform exposes a read-back API that can confirm live state — Intune through Microsoft Graph today. Purview controls are shown as Compiled or Marked applied rather than dressed up as confirmed. A green check you cannot substantiate is worse than no check at all.

Copilot governance in three moves

Discover

Every Copilot licence, every agent, every over-shared path that AI can reach — including the shadow consumer AI running alongside your sanctioned tenant.

Govern

Plain-English policy compiled into Purview and Intune configuration, with a named owner and expiry on every AI system and agent.

Prove

Continuous evidence mapped to the frameworks you report against, with each control's deployment state stated honestly.

Questions, answered

Is Microsoft 365 Copilot secure by default?

Copilot inherits your existing Microsoft 365 permission model and does not train foundation models on your tenant data. The residual risk is not the model, it is the permissions: Copilot will surface anything the user already had rights to open, so historic over-sharing becomes far easier to exploit through natural-language retrieval.

How do I stop Copilot surfacing sensitive files?

Reduce what is reachable and enforce it in the planes you already own: sensitivity labels and DLP in Purview, Restricted SharePoint Search where appropriate, and clean-up of over-permissive sites and groups. Govern360 is designed to prioritise which of those to fix first by mapping sensitivity against actual Copilot reachability, then compile the corresponding Purview and Intune configuration for human review.

Does Purview already cover Copilot governance?

Purview provides the classification and DLP primitives, and they matter. What it does not do is decide what your AI policy should be, confirm a control landed in every plane, attribute consumption to a team, or produce framework-mapped evidence. Govern360 sits above Purview and compiles into it.

Can Govern360 track M365 Copilot cost per team?

Yes. Copilot and agent consumption is attributed to users, teams and cost centres and rolled into an Executive AI Bill for showback or chargeback, with budgets and anomaly alerts. Budgets alert and capture evidence; they do not cut off usage.

Does Govern360 proxy Copilot traffic?

No. Govern360 decides and compiles; the enforcement planes you already operate execute. There is no new hop in the path between your users and Copilot, and no standing write credential into your tenant.

What does Verified mean on a Copilot control?

Verified is shown only where the platform exposes a read-back API that can confirm live state, which today means Intune through Microsoft Graph. Purview controls are reported as Compiled or Marked applied. Govern360 does not display a confirmation it cannot substantiate.

How long does it take to see something useful?

A read-only Graph connection takes about five minutes. First AI inventory typically within hours, first posture score the same day, first evidence pack in the first week. Times are typical for a standard read-only connection and vary with your environment.

See what Copilot can actually reach in your tenant.

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