NIST AI Risk Management Framework (AI RMF 1.0)
The NIST AI Risk Management Framework (AI RMF 1.0), published January 2023, provides a voluntary framework for managing risks associated with AI systems throughout their lifecycle. It is organized around four core functions: Govern, Map, Measure, and Manage. Applicable to all organizations designing, developing, deploying, or using AI systems. Includes the AI RMF Playbook with suggested actions and resources.
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Framework Domains (4)
Govern
AI risk management governance, policies, and culture
| Code | Title |
|---|---|
| AIRMF-GOV-01 | AI Risk Management Policies |
| AIRMF-GOV-02 | AI Risk Culture |
| AIRMF-GOV-03 | AI Compliance and Legal |
| AIRMF-GOV-04 | Third-Party AI Risk |
| NIST-AI600-GOV-1 | Legal and Regulatory Compliance |
| NIST-AI600-GOV-2 | Safety-First Culture |
| NIST-AI600-GOV-3 | Content Provenance Governance |
| NIST-AI600-GOV-4 | Pre-Deployment Testing Governance |
| NIST-AI600-GOV-5 | Incident Disclosure Governance |
Manage
Treatment, monitoring, and communication of AI risks
| Code | Title |
|---|---|
| AIRMF-MAN-01 | AI Risk Treatment |
| AIRMF-MAN-02 | AI Monitoring and Maintenance |
| AIRMF-MAN-03 | AI Incident Response |
| NIST-AI600-MGT-1 | Content Provenance Implementation |
| NIST-AI600-MGT-2 | Human Oversight Integration |
| NIST-AI600-MGT-3 | Third-Party Dependency Management |
| NIST-AI600-MGT-4 | Incident Response for GAI |
| NIST-AI600-MGT-5 | Decommissioning Procedures |
Map
Contextualization and identification of AI risks
| Code | Title |
|---|---|
| AIRMF-MAP-01 | AI System Context |
| AIRMF-MAP-02 | AI Risk Identification |
| AIRMF-MAP-03 | AI Impact Assessment |
| NIST-AI600-MAP-1 | GAI Risk Identification |
| NIST-AI600-MAP-2 | Stakeholder Impact Assessment |
| NIST-AI600-MAP-3 | Third-Party Risk Mapping |
Measure
Analysis and evaluation of AI risks
| Code | Title |
|---|---|
| AIRMF-MEA-01 | AI Performance Metrics |
| AIRMF-MEA-02 | Bias and Fairness Assessment |
| AIRMF-MEA-03 | AI Transparency and Explainability |
| NIST-AI600-MEA-1 | Confabulation Testing |
| NIST-AI600-MEA-2 | Bias and Fairness Evaluation |
| NIST-AI600-MEA-3 | Privacy Leak Assessment |
| NIST-AI600-MEA-4 | Environmental Impact Measurement |
| NIST-AI600-MEA-5 | Red-Teaming and Adversarial Testing |
Maps to 644 other frameworks
Frequently Asked Questions
What is NIST AI Risk Management Framework (AI RMF 1.0)?
NIST AI Risk Management Framework (AI RMF 1.0) is a compliance framework from United States (NIST) with 4 domains and 31 controls. The NIST AI Risk Management Framework (AI RMF 1.0), published January 2023, provides a voluntary framework for managing risks associated with AI systems throughout their lifecycle. It is organized around four core functions: Govern, Map, Measure, and Manage. Applicable to all organizations designing, developing, deploying, or using AI systems. Includes the AI RMF Playbook with suggested actions and resources. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
How many controls does NIST AI Risk Management Framework (AI RMF 1.0) have?
NIST AI Risk Management Framework (AI RMF 1.0) has 31 controls organised across 4 domains. The largest domains are Govern (9 controls), Manage (8 controls), Measure (8 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
What frameworks does NIST AI Risk Management Framework (AI RMF 1.0) map to?
NIST AI Risk Management Framework (AI RMF 1.0) maps to 644 other compliance frameworks. The top mapping partners are NIST AI 600-1 Generative AI Profile (45% coverage), TISAX — Trusted Information Security Assessment Exchange (45% coverage), EU Digital Markets Act (45% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I get started with NIST AI Risk Management Framework (AI RMF 1.0) compliance?
Start your NIST AI Risk Management Framework (AI RMF 1.0) compliance journey by running a self-assessment on our platform to identify your current compliance posture. Our AI advisory can answer specific questions about NIST AI Risk Management Framework (AI RMF 1.0) requirements, and cross-framework mapping helps you leverage existing controls from other frameworks you may already comply with. Create a free account to access all 31 controls and track your progress.
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