What is AI RMF?

In practice, the AI RMF is used to organize AI governance activities across the lifecycle of a system, from design and development through deployment and monitoring. Its core functions — Govern, Map, Measure, and Manage — help teams identify intended uses, assess harms and performance issues, apply controls, and track residual risk in a way that can be reviewed by auditors, security teams, legal counsel, and senior management.

For compliance teams, the framework is useful because it translates AI risk into operational tasks such as policy setting, inventorying systems, testing for reliability and bias, monitoring drift, and maintaining accountability records. It is most commonly referenced as a best-practice framework in the United States and internationally, and it is often used alongside ISO/IEC 42001, NIST cybersecurity practices, and sector-specific governance requirements to demonstrate mature AI oversight.