AI Guardrail Coverage & Risk Mapper
Map selected AI agent safeguards and documented evaluation evidence to an actionable coverage register.
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The form starts with hypothetical examples. Replace them with your own measurements or assumptions. Inputs and exports stay in this browser.
What decision does this help answer?
Which critical controls have no owner, no evidence or no test?
Calculation and methodology
Review defined control areas spanning prompt injection, authorization, sensitive data, monitoring, revocation, approval, evaluation and incident recovery. Record a declared state per control, distinguish implementation from testing, calculate only a checklist coverage share and create a prioritized list for review.
Limitations and responsible interpretation
A checklist fraction is not a numerical security posture or formal standards compliance measure. Control scope, threat modeling, evidence quality and residual risk need expert assessment. NIST and OWASP frameworks are resources for interpretation, not automatically certified by this tool.
Research and supporting guidance
This planning tool complements Ninth Post's related AI product analysis. Consult the underlying technical guidance or official framework where applicable, and see our editorial methods. The tool does not independently validate submitted assumptions, current vendor prices or legal obligations.