NIST AI RMF compliance, manage AI risk across the lifecycle
Turn Govern, Map, Measure and Manage into owned tasks and evidence, not slideware.
The NIST AI Risk Management Framework (AI RMF 1.0, January 2023) is a voluntary US framework for managing AI risk across the lifecycle. It is organized into four functions, Govern, Map, Measure and Manage, and paired with a Generative AI Profile, NIST AI 600-1. NIST is revising it as part of the White House AI Action Plan.
TL;DR
- Voluntary; there is no AI RMF certification.
- Four functions: Govern, Map, Measure and Manage.
- Seven trustworthiness characteristics define what trustworthy AI means.
- NIST is revising the framework; AI RMF 1.0 remains the published version.
Reviewed by the ComplyEasyAI compliance teamLast reviewed
Sources: NIST, AI Risk Management FrameworkNIST AI 100-1, AI RMF 1.0NIST AI 600-1, Generative AI Profile
What does the NIST AI RMF require?
The requirements below define the NIST AI RMF. ComplyEasyAI maps your environment to each one.
Govern
Cultivate a culture and structures for managing AI risk.
Map
Establish the context and identify risks of each AI system.
Measure
Assess, analyze and track identified AI risks.
Manage
Prioritize and act on risks based on their impact.
Trustworthiness
Valid and reliable; safe; secure and resilient; accountable and transparent; explainable and interpretable; privacy-enhanced; fair with harmful bias managed.
How do you prepare for the NIST AI RMF?
Scope
Define the systems, boundaries and requirements your program will cover.
Connect your stack
Link cloud, identity, code and ticketing systems, read-only for evidence collection; controls are discovered and mapped.
Collect evidence
AI agents gather configuration and activity evidence on a schedule, building a versioned trail.
Monitor & remediate
Continuous monitoring flags drift the moment it happens and routes it to an owner.
Track effectiveness
Operating effectiveness is recorded over time, ready for your observation window.
Report & hand off
Organized, current evidence is packaged for auditors and stakeholders.
How does ComplyEasyAI automate NIST AI RMF compliance?
Control mapping
Your environment is mapped to each requirement, so you see exactly which control satisfies what.
Automated evidence
Integrations build a versioned, timestamped evidence trail instead of manual screenshots.
Continuous monitoring
Drift surfaces as soon as it happens, not during fieldwork.
Readiness dashboards
Real-time views highlight failing or unmapped controls with owners attached.
Multi-framework reuse
Shared controls are mapped once and reused across every framework you run.
Audit-ready reporting
Export organized, current evidence packages on demand.
Which frameworks are related to the NIST AI RMF?
NIST AI RMF FAQ
Is the AI RMF mandatory?
No. It is voluntary, but widely used as a baseline for responsible AI and often referenced in policy and contracts.
Is the AI RMF being updated?
Yes. NIST says AI RMF 1.0 is being revised as part of the White House AI Action Plan. Until a new version is published, AI RMF 1.0 and the Generative AI Profile (NIST AI 600-1, July 2024) are the current texts.
How does it relate to the EU AI Act?
They are complementary. RMF practices help demonstrate the risk management and governance the Act expects.
What are the trustworthiness characteristics?
Valid and reliable; safe; secure and resilient; accountable and transparent; explainable and interpretable; privacy-enhanced; and fair with harmful bias managed.
How do you help?
The platform operationalizes the four functions with owners, evidence and tracking, instead of static documents.
Start your NIST AI RMF program.
Map the requirements, automate the evidence, stay audit-ready.