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What NIST AI RMF is
The NIST AI Risk Management Framework is designed to help organisations manage risks associated with AI systems and promote trustworthy and responsible AI. It is voluntary, non-sector-specific, and useful for providers, deployers, procurement teams and governance leaders.
The four core functions
- Govern: create policies, roles, accountability, culture and oversight.
- Map: understand the AI system context, purpose, stakeholders, impacts and risks.
- Measure: analyse, assess and track AI risks using qualitative and quantitative methods.
- Manage: prioritise, respond to, monitor and communicate AI risks over time.
How to use it with AI Act readiness
NIST AI RMF does not replace the EU AI Act. Instead, it gives a practical risk-management structure that can support AI inventories, assessments, controls, monitoring and governance documentation. This is especially helpful for companies that operate globally and want one AI risk process that can be mapped to multiple regulatory expectations.
Starter checklist
- Assign an AI risk owner and governance group.
- Map AI systems, users, impacts and data flows.
- Define risk criteria and escalation triggers.
- Measure data quality, bias, robustness, privacy and security risk where relevant.
- Track risk treatment decisions and review dates.
FAQ
Is NIST AI RMF a certification?
No. It is a voluntary framework, not a certification programme.
Does NIST AI RMF apply outside the US?
It is widely useful as a risk-management framework even outside the US, although legal obligations still depend on local law.
What does “Govern, Map, Measure, Manage” mean?
It means setting accountability, understanding context, assessing risk, and managing risk across the lifecycle.
Sources and review method
This page is written as general business guidance, not legal advice. It is maintained from official AI Act materials, European Commission / AI Office updates, the NIST AI Risk Management Framework and practical AI governance controls.