Enterprise explainer | October 25, 2026
An internal AI search tool may produce an answer from several documents. That convenience creates a basic access-control question: is the person asking allowed to read every document used in the answer?
Check access before retrieval
A search index may contain material from departments with different permissions. Filtering only the final answer is a fragile place to enforce access. Retrieval and execution components should apply the user's authorization before restricted content reaches the response workflow.
Include indirect disclosures
A leak does not require a full document download. An answer might reveal a confidential project name, a sentence from an HR file or a citation title. Test snippets, previews and generated summaries as well as the source viewer.
Test permission changes
Create test documents with harmless distinctive phrases. Give two test users different access, then compare results. Remove a user's access and repeat after the system's documented synchronization interval. Record whether cached answers or old sessions still expose the phrase.
Inspect shared workflows
A shared chat or exported report can have a different audience from the original request. Confirm that sharing an answer does not silently share the underlying restricted evidence. Review how connectors map identities across services and how administrators revoke access.
Make failure useful
When evidence is unavailable to the requester, the system should explain that it lacks accessible support instead of inventing an answer. Keep logs that help investigate access decisions without copying unnecessary sensitive content into a second store.
OWASP's general controls discuss least privilege and model access control. The test procedure above is illustrative and should be adapted to your identity system and retention policies. It is not a finding about any named search vendor.
Primary reference: OWASP AI Exchange: General controls.