The problems this exists to solve.
How it works for your team, day to day.
Oversharing stopped at the answer
The core Copilot risk isn't the prompt — it's the response. AccuroAI inspects what Copilot returns and gates results that violate data policy, so a casual 'summarize our Q3 planning' doesn't become an internal disclosure event just because permissions were sloppy.
GitHub Copilot as a first-class surface
Code suggestions and Copilot Chat are inspected for secrets and protected source in both directions — what leaves the repo as context, and what comes back as generated code carrying someone's leaked key from training data.
Native to the Microsoft stack you run
Deployment rides your existing estate: Entra for identity and groups, Intune for endpoint rollout, conditional-access context for policy. Security sees Copilot activity with the same user and group fidelity as any other Microsoft workload — typically live in under 30 minutes.
The questions we hear most.
Doesn't Purview already do this?
Purview labels and protects documents at rest. The gap is interaction-time: what Copilot assembles across documents and returns in an answer. AccuroAI inspects that assembled response — the layer labels can't see.
Can we govern M365 Copilot and GitHub Copilot separately?
Yes — they're separate surfaces with separate policies. Most customers run stricter source-code rules on GitHub Copilot and stricter PII rules on M365.
Do we have to fix SharePoint permissions first?
No — response gating protects you while the cleanup happens, and the overshare findings tell you exactly which permissions to fix first.
Does this work with our conditional-access policies?
Yes — Entra group and conditional-access context is available to the policy engine, so rules can differ by user risk tier, device state, or location.