Governance & Compliance · Software component
Policy Adherence Evaluator
Software componentGovernance & ComplianceSafety, Security & Governancearc:PolicyAdherenceEvaluator
An evaluation component that checks an agent's actions against domain policy documents and regulatory constraints, scoring task completion jointly with policy compliance.
Responsibility. Detects policy violations in agent runs and computes policy-aware success.
Also known as: Policy-aware evaluation, Automated compliance checking, Online Action Validator, Post-hoc Action Audit, Action Sequence Auditor
Relationships
is configured by structural
is invoked by dependency
reads dependency
sends data to dynamic
audits assurance
evaluates assurance
- Agent Controller abstract Ch9.2
Design guidance
- MUST treat policy violations as failures regardless of task completion in regulated domains.
- SHOULD give policy compliance equal weight to task completion in evaluation.
- SHOULD run in production as automated compliance checking, not only pre-deployment.
- SHOULD validate production actions against policies rather than reference trajectories.
- SHOULD report near-misses prevented by validation layers to inform prompt refinement and retraining.
Quantitative guidance
As stated by the sources; verify before use.
- Under joint scoring, 95% task success with a 10% violation rate scores below 90% success with zero violations (Ch3.3).
Classification
- Patterns
- Completion Under Policies (CuP)Joint task-and-policy metricOnline policy-level action validationLoop detection (same tool, same parameters after failure)Weekly post-hoc safety audit with near-miss reporting
- Technologies
- ST-WebAgentBenchtau-bench
- Quality attributes
- Transparency and accountability (NIST AI RMF: accountable and transparent)
- Risks mitigated
- Tasks completed through policy violationsRegulatory liabilityProcedural violations invisible to parameter-level checksRetry loopsProhibited or destructive tool use
Sources
- Ch3.3: T. Nguyen, "Web Navigation and Interaction Benchmarks," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 3.3. ISBN: 9798244538229.
- Ch3.8: T. Nguyen, "Action Accuracy Metrics," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 3.8. ISBN: 9798244538229.
- Ch9.2: T. Nguyen, "Action Constraints and Permission Models," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 9.2. ISBN: 9798244538229.