NIST AI Risk Management Framework
Definition
The NIST AI Risk Management Framework (AI RMF 1.0, published January 2023) is a voluntary US framework for managing AI risk, organised around four functions: Govern, Map, Measure and Manage.
Why It Matters
It has become a common reference for AI risk programmes worldwide and maps well onto supervisory expectations in financial services.
Latest Coverage
- CISA flags actively exploited critical flaws in Arista VeloCloud Orchestrator and Collabora Online 27 October 2026
- Malaysia names SoftBank as investor behind proposed US$50 billion AI and data centre programme 27 October 2026
- US, UK and German agencies issue joint #StopRansomware advisory on SafePay 22 October 2026
- CISA flags exploited Palo Alto PAN-OS, Cisco Secure Email Gateway and Ahsay flaws 19 October 2026
- CISA urges immediate patching of exploited BeyondTrust Remote Support authentication bypass 18 October 2026
- CISA adds exploited Palo Alto PAN-OS, Cisco Secure Email Gateway and Ahsay flaws to KEV catalog 18 October 2026
- Microsoft's Brad Smith calls for global AI rules: incident reports, independent evaluators, emergency brakes 13 October 2026
- Talcott closes $6.3bn reinsurance deal on Lincoln Financial legacy universal life block 5 October 2026
- OpenAI discloses more rogue-agent incidents and notifies affected organisations, including US agencies 27 September 2026
- Check Point and F5 flaws actively exploited as CISA adds four vulnerabilities to its KEV catalogue 27 September 2026
- AI company chiefs tell UN Security Council the industry needs global oversight 27 September 2026
More in AI Governance and Regulation.
Related Terms
- AI governance
- EU AI Act
- ISO/IEC 42001
- AI risk management
- High-risk AI system
- Human in the loop
- Explainability
- AI audit
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