Review NIST AI Risk Management Framework

The NIST AI Risk Management Framework is a voluntary framework from the U.S. National Institute of Standards and Technology for helping organizations govern, map, measure, and manage risks from AI systems.

The AI RMF provides shared language and organized functions for incorporating trustworthiness and risk management into AI design, development, use, and evaluation.

It can help different roles coordinate without pretending one checklist fits every system. Organizations still need to adapt it to their context, authority, risk, and evidence.

A company uses the Govern, Map, Measure, and Manage functions to structure ownership, context analysis, testing, monitoring, and response for an AI use case.

Using the NIST AI RMF is not the same as receiving certification, guaranteeing safety, or satisfying every legal obligation.

Govern the work, map the context, measure the risk, manage what follows.

* [[ai-governance|AI Governance]] * [[model-risk-management|Model Risk Management]] * [[responsible-ai|Responsible AI]] * [[verification|Verification]] * [[due-diligence|Due Diligence]]

* [NIST AI 100-1, Artificial Intelligence Risk Management Framework (AI RMF 1.0)](https://doi.org/10.6028/NIST.AI.100-1) — canonical NIST publication defining the voluntary AI risk-management framework. * [NIST, AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework) — official framework landing page and revision-status information.

* Consult the current NIST AI RMF and related official profiles and resources.