Carmen’s board wants Copilot. Carmen knows that pointing an LLM at raw storage will expose things buried for years. She needs retrieval that respects every ACL — for people and agents alike.
Most AI indexes ignore source ACLs, so a prompt can reach restricted content.
You can’t prove where an answer came from or whether the asker was entitled to it.
Sensitive data leaves in answers and exports with nothing watching the door.
“The fastest way to fail an audit is to let an LLM read everything. We needed the opposite.”
A single search runs keyword and semantic retrieval together across SharePoint, OneDrive, Box and the rest — the same answer no matter where the file lives. Results are scoped to each user's permissions, and sensitive fields like SSNs and phone numbers are redacted before they're ever shown.
Each document keeps its native ACL as it’s ingested — nothing is flattened.
Every search and answer is filtered against the user’s live directory identity.
PII like SSNs and phone numbers is redacted before results are ever shown.
DLP evaluates every egress — block, justify, or redact — and logs the decision.
Yes. Agents retrieve through the same permission-aware layer via an MCP server, so they’re bound by identical governance.
Retrieval is checked against your live directory at query time, so revocations take effect immediately.
No. Knowledge is never flattened or co-mingled beyond its source permissions.
Bring your hardest access scenario — we’ll show permission-aware retrieval refuse what it should.
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