NIST AI RMF

2026-09-12

Today · AI GOVERNANCE RMF

NIST AI RMF's four core functions (Govern, Map, Measure, Manage) are being actively explained with concrete implementation guidance for practitioners deploying AI models and agents. This foundational framework continues to serve as the primary reference architecture for organizations establishing AI governance programs.

→NIST AI RMF Core Functions Implementation Guidance: Practitioners need clear operational understanding of Govern, Map, Measure, and Manage functions to structure their AI risk management programs effectively and demonstrate compliance readiness.

Review the NIST AI RMF's four functions against your current AI governance structure today to identify implementation gaps in your organization's risk management program.

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The AI risk management framework: NIST AI RMF for models and agents (with implementation steps) | Collibra

An AI risk management framework is a structured approach to identifying, measuring and controlling the risks an AI system creates across its life: bias, drift, security, privacy, and for autonomous agents, the actions they take. The most widely adopted one is the NIST AI Risk Management Framework, built around four functions: Govern Map Measure Manage These four functions give organizations a deliberate way to manage AI risk, instead of reacting to it. [...] An AI risk management framewor