AI Governance
NIST AI RMF
AI Risk Management Framework
Formal standard
US / Global
NIST
Since 2023
A voluntary framework organised into four functions (Govern, Map, Measure, Manage) for identifying and managing risks across the AI lifecycle, with a companion playbook of concrete actions.
The Generative AI Profile extends it to foundation-model risks: confabulation, data leakage, provenance, and the supply chain of models you did not train yourself.
At a glance
- Category
- AI Governance
- Jurisdiction
- US / Global
- Governance
- NIST
- Status
- AI RMF 1.0 (2023) plus the Generative AI Profile (2024)
- First released
- 2023
Links
Related frameworks
Other entries under AI Governance.
- ISO/IEC 42001: Artificial Intelligence Management System
- ISO/IEC 23894: AI Risk Management Guidance
- JTC 21: CEN-CENELEC JTC 21: Harmonised European Standards for AI
- ISO/IEC 5259: Data Quality for Analytics and Machine Learning
See NIST AI RMF in context
Open the interactive Data Landscape for Regulation to compare NIST AI RMF against every other framework, or grab the raw JSON. Certification schemes and editions move — follow the source links before relying on this page.