The NIST AI Risk Management Framework (AI RMF) is a voluntary framework developed by the U.S. National Institute of Standards and Technology (NIST) to help organizations identify, assess, and manage risks associated with artificial intelligence systems throughout their lifecycle. Published in January 2023, the framework provides a flexible, non-prescriptive approach that organizations can adapt to their specific context, risk tolerance, and AI use cases.
The NIST AI RMF is structured around four core functions, represented by the acronym GOVERN, MAP, MEASURE, and MANAGE. The GOVERN function establishes organizational policies, roles, and responsibilities for AI risk management, ensuring executive accountability for AI decisions. The MAP function identifies the context, categories of harm, and potential impacts of specific AI systems. The MEASURE function quantifies risks using metrics and evaluation methods appropriate to the system's risk profile. The MANAGE function applies risk responses — mitigation, transfer, acceptance, or avoidance — and tracks their effectiveness over time.
The framework applies across all types of AI systems, from automated hiring tools to generative AI applications, and is designed to complement other risk management approaches such as ISO 42001, SOC 2, and sector-specific regulations. For organizations in regulated industries, the NIST AI RMF provides a structured foundation that can be mapped to compliance requirements, reducing the overhead of managing multiple separate frameworks.
Key benefits of implementing the NIST AI RMF include improved AI risk visibility (organizations gain clearer understanding of their AI-related exposures), better governance structures (the GOVERN function drives executive accountability), enhanced vendor management (the framework provides structured criteria for evaluating third-party AI tools), and regulatory readiness (alignment with NIST AI RMF simplifies compliance with emerging AI regulations including the EU AI Act and US Executive Order on Safe, Secure, and Trustworthy AI).