The problems this exists to solve.
How it works for your team, day to day.
Inputs inspected before they become queries
Every Perplexity prompt is evaluated at the browser boundary with the full 40+ classifier set at sub-38ms. Customer names, deal terms, and internal identifiers are redacted before the query leaves — the research still works; the context stays private.
Sharing under policy, not by accident
The share-URL feature is policy-gated: block it outright, restrict it to specific groups, or require the thread to pass content inspection before a public link can exist. Accidental public disclosure stops being one click away.
Retrieved sources checked on the way in
Because Perplexity's answers are built from live web content, AccuroAI inspects retrieved sources and generated responses for injection patterns and unsafe instructions — the return path gets the same scrutiny as the prompt.
The questions we hear most.
Why govern Perplexity specifically?
Because its usage pattern is research — which means employees paste richer internal context than they would into a chatbot, and the share feature makes disclosure one click away. High-context input plus public output is exactly the combination worth governing.
Can we allow Perplexity but ban sharing?
Yes — that's the most common policy: full research access, share URLs blocked or approval-gated.
Does this cover free accounts?
Yes — enforcement happens at the browser boundary on managed devices, so account tier doesn't matter.
What shows up in the audit trail?
Prompts, redactions, share attempts, and flagged sources — attributed to users, exportable, and mapped to your frameworks like every other surface.