NIST AI Risk Management Framework (AI RMF 1.0)
Voluntary framework released by NIST to help organizations manage risks across the AI lifecycle, organized around the Govern, Map, Measure, and Manage functions.
Official source
nist.gov
- Published
- Jan 26, 2023
- Last verified
- Apr 8, 2026
Opens in a new tab. You are about to leave AI Resource Zone.
Editorial summary
Voluntary framework released by NIST to help organizations manage risks across the AI lifecycle, organized around the Govern, Map, Measure, and Manage functions. Accompanied by a Playbook and a 2024 Generative AI Profile.
Why this matters
If a company tells you it is using AI responsibly, odds are it is leaning on the NIST AI Risk Management Framework — the closest thing the United States has to a shared AI safety vocabulary. The framework is voluntary, which means it carries no fines on its own. But auditors, insurers, and government buyers increasingly ask vendors to map their controls to its four functions: Govern, Map, Measure, and Manage. Reading the official source gives you the exact wording those downstream checklists quote, plus the Generative AI Profile that many 2024 and 2025 corporate policies now reference by name.
Topics covered
At a glance
- Type
- Government
- Country
- United States
- Published
- Jan 26, 2023
- Last verified
- Apr 8, 2026
- Permalink
- https://airesourcezone.com/resources/nist-ai-rmf-1-0
Ready to read it at the source? Visit nist.gov →
Related resources
Other resources that share at least one topic with this one.
-
Government Singapore
Model AI Governance Framework for Generative AI
Framework published by IMDA and the AI Verify Foundation extending Singapore's Model AI Governance Framework to generative AI, covering acco...
Source: AI Verify Foundation
-
Government Japan
AI Guidelines for Business (Ver. 1.0)
Joint METI and MIC guidelines consolidating earlier Japanese AI R&D, utilization, and governance texts into a single living document setting...
-
Government France
CNIL Recommendations on AI and the GDPR
CNIL's set of recommendations helping AI developers apply the GDPR through the AI lifecycle, covering purpose definition, legal basis, train...
Source: Commission Nationale de l'Informatique et des Libertés (CNIL)
-
Government United Kingdom
ICO Guidance on AI and Data Protection
ICO hub of guidance explaining how UK GDPR principles apply to AI systems, covering fairness, lawfulness, transparency, accountability, and...
Source: Information Commissioner's Office (ICO)
-
Government United States
Blueprint for an AI Bill of Rights
White House OSTP non-binding framework setting out five principles for the design and use of automated systems: safe and effective systems,...
-
Government Australia
Australia's AI Ethics Principles
Eight voluntary principles — including human-centred values, fairness, privacy, reliability, transparency, contestability, and accountabilit...
Source: Department of Industry, Science and Resources — National AI Centre