agent-owasp-compliance

To audit an AI agent codebase for OWASP ASI compliance, scan for security control gaps across the Top 10 risks, including prompt injection resistance and tool governance. The skill systematically checks for insecure patterns and generates a compliance summary report.

OWASP Agentic Security Initiative (ASI) threat modeling evaluates AI agent systems against the Top 10 security risks before deployment. It identifies exploitable agent behaviors by mapping existing controls to agentic risks like bounded agency, trust boundaries, and audit logging quality.

Yes, you can check tool governance and argument validation by scanning for common insecure patterns like tool execution without validation or missing allowlists. It assesses whether your agent system has sufficient deterministic policy enforcement.

The best way to map existing controls to agentic risks is through a systematic compliance audit targeting prompt injection, escalation controls, and supply chain integrity. This produces a per-risk PASS/FAIL assessment with concrete findings and remediation recommendations.

Yes, agent security compliance reporting covers behavioral anomaly monitoring as part of the OWASP ASI Top 10 evaluation. It checks your agent system's ability to handle behavioral anomalies alongside cryptographic identity and audit logging quality.