Every AI vendor claims their AI respects permissions. Yours has to prove it.
The CISO's question is not abstract. They have seen the demos where AI summarises a corpus and quietly includes a paragraph from a folder the asking user was never supposed to see. They have read the regulator's enforcement actions where the test was not "did the company intend to leak it" but "could the company prove it didn't."
So the bar your AI deployment has to clear is not the demo. It's the audit log 6 months later.
What "permissions-aware" actually has to mean.
Most enterprise AI is permissions-naive: the model is trained or grounded against a corpus that was indexed with one user's view, and every downstream answer reflects that. Permissions-aware AI is a different architecture entirely.
| Stage | What permissions-aware AI requires |
|---|---|
| Indexing | The retrieval index understands per-document, per-user permissions. It does not flatten them. |
| Retrieval | Every query is bounded by the asking user's effective permissions at query time, not at index time. |
| Generation | The answer is composed only from documents the user could have read directly. No synthesis across boundaries. |
| Audit | Every retrieval emits an evidence record — query, user, documents retrieved, documents excluded — anchored to the audit ledger. |
If any one of those 4 stages skips the permission check, the deployment is not defensible. TeamSync does all four.
Read the full role page.
This is the page your CISO will want, with the architecture diagram, the 4 guarantees in technical detail, the comparison to Microsoft Copilot, Google Workspace AI, Glean, and Box AI, and the CISO-specific evaluation checklist.
→ CISO — approve AI on regulated content without inheriting the audit risk
Related reading.
- Why TeamSync — permissions-aware AI — the architecture answer
- DocuTalk capability — the customer-facing AI copilot
- AI without leakage mandate — what the security review looks like