Safety
Building Safe AI Systems
The concrete mechanisms behind PawOS's safety claims.
"Safe AI" is often used as a marketing phrase without concrete backing. Here's what it actually means inside PawOS.
Every action is classified before it runs: routine, destructive, or production-impacting. Routine actions (reading a file, searching the web) proceed without friction. Destructive actions (deleting data, force-pushing) require explicit confirmation, every time. Production-impacting actions (deploying, rolling back) can additionally require organization-level approval before they run at all.
This isn't a single global toggle — it's enforced per action type, and for organizations, backed by a real approval queue and audit log rather than a client-side checkbox. Credentials for organization infrastructure are stored in an encrypted vault, never in plain text, and accessed only through gated actions.
Just as important as what PawOS gates is what it refuses to fabricate: a task's status only ever reflects what genuinely happened, evidence is preserved even when a step partially fails, and a failed run is reported as failed rather than silently retried into a false success. Safety, in our view, includes not lying about outcomes.