NIST AI RMF
The NIST AI Risk Management Framework is a voluntary framework to help organizations manage risks across the AI lifecycle and build more trustworthy AI systems.
What NIST AI RMF is, in plain terms
The NIST AI Risk Management Framework is a voluntary, outcome-based framework that helps organizations identify, assess, and manage risks across the AI lifecycle to build more trustworthy systems. It is organized around four core functions (Govern, Map, Measure, and Manage) and is accompanied by a Playbook and profiles for practical implementation. It is not a certification scheme, but a widely referenced foundation for responsible AI programs.
Typical effort & timeline
Because it is voluntary and outcome-based, there is no audit or deadline. Organizations adopt it incrementally, maturing their Govern/Map/Measure/Manage practices over time.
Is this framework for you?
- Organizations developing or deploying AI that want a credible, structured risk approach.
- Teams that prefer a flexible, voluntary framework over a binding regulation.
- Companies preparing for ISO 42001 or the EU AI Act who want a common risk foundation.
Key facts about NIST AI RMF
- Organized around four core functions: Govern, Map, Measure, and Manage.
- Describes characteristics of trustworthy AI (e.g., valid, safe, secure, accountable, fair).
- Voluntary and outcome-based, not a certification scheme.
- Accompanied by a Playbook and profiles for practical implementation.
Public information about the framework itself. We don't claim certifications, assessment status, or authorizations for our own product.
How we help with NIST AI RMF
- Track Govern/Map/Measure/Manage activities against evidence.
- Maintain an AI risk register and document mitigations.
- Align AI governance work with ISO 42001 where they overlap.
- Keep trustworthy-AI documentation organized over time.
Get and stay compliant
How the platform supports your NIST AI RMF program, from first scope to ongoing monitoring.
Govern
Establish AI governance, roles, and policies, captured as documented activities and evidence.
Map
Identify context and risks for each AI system in an AI risk register.
Measure
Assess and track AI risks and trustworthiness characteristics with supporting evidence.
Manage
Prioritize and document mitigations, keeping the record current as systems evolve.
What NIST AI RMF covers
Public, high-level control or requirement areas, for orientation, not a complete control list.
Reuse evidence across frameworks
NIST AI RMF shares controls with frameworks you may already run. A passing test can satisfy requirements in more than one place, so adding the next framework means reusing work, not repeating it.
Common questions about NIST AI RMF
No. It is a voluntary, outcome-based framework rather than a certification scheme.
They overlap heavily on governance and risk; many teams use the AI RMF as a practical foundation and ISO 42001 for certification.
Govern, Map, Measure, and Manage: the core functions around which the framework is organized.
Get audit-ready for NIST AI RMF
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