Sensitive source handling
Raw customer sources are treated as sensitive inputs, with reviewer-facing surfaces focused on needed spans.
Security
Evidence review for sensitive AI workflows.
Kivo is built for teams reviewing consequential outputs and sensitive source material. The product avoids broad raw-log-first surfaces and keeps evidence references explicit.
Designed to make evidence inspectable without making certainty claims.
Tenant-aware design
Organization and project boundaries are modeled from the database layer upward.
Audit metadata
AI-assisted extraction and verification steps keep model, prompt version, request ID, and verifier metadata.
Failure visibility
Extraction or verification failures do not silently pass as successful review briefs.
Source minimization
Show the relevant source span before exposing the full source document.
Scoped access
Use organization and project context when creating and reading review runs.
Request identity
Carry request IDs through API, worker, and reviewer surfaces.
No raw-secret logs
Avoid logging API keys, secrets, or full sensitive customer documents.
Security review ready, not security theater.
Kivo does not claim that a review brief makes an output legally, medically, financially, or operationally safe. It gives reviewers structured evidence so they can make the right call.