How does the NIST AI RMF Manage function prioritize and respond to AI agent risks?
The NIST AI RMF Manage function prioritizes and responds to AI agent risks by ensuring that responses to high-priority risks are planned, tracked, and resourced, and by establishing mechanisms for safe operation and retirement of AI systems. This function also mandates incident response and post-deployment monitoring for AI systems.
Concrete controls for managing AI agent risks include:
- Risk response prioritization: Responses to the highest-priority AI risks must be planned, tracked, and resourced [NIST-MANAGE-1.3].
- Safe sustainment and retirement mechanisms: Procedures should be in place to deactivate, roll back, or safely retire AI systems that exceed defined risk tolerances, including kill-switch or rollback capabilities for agents [NIST-MANAGE-2.3].
- Incident response and post-deployment monitoring: An AI/agent incident-response plan is required, encompassing detection, escalation, containment, communication, and learning, along with continuous post-deployment monitoring [NIST-MANAGE-4.1]. This also relates to ISO/IEC 42001 Cl.9, which requires monitoring, measurement, analysis, and evaluation of the AI Management System.
- Continual improvement: The AI Management System should undergo continual improvement and corrective actions to address nonconformities and enhance the system over time [ISO/IEC 42001 Cl.10].
- nist_ai_rmf
- iso_42001
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This AI-generated answer is for guidance only — not a certification, audit, or penetration test. Grounded in the NIST AI RMF, OWASP LLM Top 10, and ISO/IEC 42001 control text; verify applicability to your environment.