ai-tool-compliance

AI tool compliance verification is automated by running static analysis against a P0/P1 rule catalog, checking for critical violations like API key exposure and direct Firestore access to produce a risk score and deployment gate decision.

A P0 compliance rule is a mandatory security, authentication, or logging standard, such as preventing API key exposure or direct Firestore access, that automatically blocks deployment gates when violations are detected during static analysis.

You enforce RBAC and audit logging standards by running automated compliance verification that checks your project against a P0 rule catalog, generating a quantitative score and a clear Go/No-Go decision for deployment.

Yes, you can get a quantitative compliance score by running compliance verification, which evaluates your project's authentication, logging, and security setup against 11 P0 rules to calculate an overall risk score.

Your project fails deployment gates because automated static analysis detected critical P0 compliance violations, such as missing cost tracking transparency or direct database access, which automatically trigger a No-Go deployment decision.

Manual code review is not required for AI compliance because automated static analysis enforces a deploy gate by checking your project against a P0 rule catalog to generate a risk score and Go/No-Go decision.