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 across their entire lifecycle.
The framework is designed to support trustworthy and responsible AI by addressing risks related to security, privacy, safety, transparency, fairness, and reliability, while remaining flexible enough to apply across industries, AI use cases, and deployment models.
The NIST AI RMF provides a structured, outcomes-based approach to managing AI risk without prescribing specific technologies or controls. It helps organizations operationalize AI governance while continuing to innovate.
The framework is organized around four core functions:
These functions are intended to be applied iteratively throughout the AI system lifecycle, from design and development to deployment and ongoing operation.
The NIST AI RMF places strong emphasis on data governance and data protection, recognizing that AI systems often increase exposure to sensitive, regulated, or proprietary data.
Key data-related considerations include:
As organizations adopt AI at scale, aligning with the NIST AI RMF helps security teams manage AI-driven data risk, improve visibility into sensitive data usage, and support responsible AI adoption.

