NIST AI 600-1 Generative AI Profile
NIST Artificial Intelligence 600-1: Generative AI Profile. A companion resource to the NIST AI Risk Management Framework (AI RMF 1.0) providing guidance for managing risks of generative AI systems. Identifies 12 unique risks of GAI and maps suggested actions to the AI RMF Govern, Map, Measure, and Manage functions. Published July 2024.
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Framework Domains (5)
GAI Risk Categories
The 12 unique risks identified for generative AI systems by NIST AI 600-1
| Code | Title |
|---|---|
| NIST-AI600-RISK-01 | CBRN Information or Capabilities |
| NIST-AI600-RISK-02 | Confabulation |
| NIST-AI600-RISK-03 | Data Privacy |
| NIST-AI600-RISK-04 | Environmental Impacts |
| NIST-AI600-RISK-05 | Harmful Bias and Homogenization |
| NIST-AI600-RISK-06 | Human-AI Configuration |
| NIST-AI600-RISK-07 | Information Integrity |
| NIST-AI600-RISK-08 | Information Security |
| NIST-AI600-RISK-09 | Intellectual Property |
| NIST-AI600-RISK-10 | Obscene, Degrading, and/or Abusive Content |
| NIST-AI600-RISK-11 | Value Chain and Component Integration |
| NIST-AI600-RISK-12 | Dangerous or Violent Recommendations |
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 600-1 Generative AI Profile?
NIST AI 600-1 Generative AI Profile is a compliance framework from United States with 5 domains and 43 controls. NIST Artificial Intelligence 600-1: Generative AI Profile. A companion resource to the NIST AI Risk Management Framework (AI RMF 1.0) providing guidance for managing risks of generative AI systems. Identifies 12 unique risks of GAI and maps suggested actions to the AI RMF Govern, Map, Measure, and Manage functions. Published July 2024. It is used by organisations to establish and maintain compliance with industry standards and regulatory requirements.
How many controls does NIST AI 600-1 Generative AI Profile have?
NIST AI 600-1 Generative AI Profile has 43 controls organised across 5 domains. The largest domains are GAI Risk Categories (12 controls), Govern (9 controls), Manage (8 controls). Each control defines specific requirements that organisations must implement to achieve compliance.
What frameworks does NIST AI 600-1 Generative AI Profile map to?
NIST AI 600-1 Generative AI Profile maps to 644 other compliance frameworks. The top mapping partners are NIST AI Risk Management Framework (AI RMF 1.0) (42% coverage), EU Digital Markets Act (40% coverage), Australia Consumer Data Right — Banking (CDR) (40% coverage). Use our comparison tool to explore control-level mappings between frameworks.
How do I get started with NIST AI 600-1 Generative AI Profile compliance?
Start your NIST AI 600-1 Generative AI Profile 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 600-1 Generative AI Profile 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 43 controls and track your progress.
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