Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsNIST AI 600-1 Generative AI Profile

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to NIST AI 600-1 Generative AI Profile. Pre-computed mappings, identified gaps, and coverage analysis.

38
Controls Mapped
0
Gaps Found
45%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to NIST AI 600-1 Generative AI Profile with 45% coverage across 14 directly mapped controls. Analysis of 31 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 17 compliance gaps — primarily concentrated in Govern.

Source: TheArtOfService Knowledge Graph | 31 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 20 of 38 mapped controls across 4 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Govern(9 mappings)

AIRMF-GOV-01AI Risk Management Policies4 targets
AIRMF-GOV-02AI Risk Culture
AIRMF-MAN-01AI Risk Treatment
AIRMF-MEA-01AI Performance Metrics
AIRMF-MEA-03AI Transparency and Explainability
AIRMF-GOV-02AI Risk Culture2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MEA-03AI Transparency and Explainability
NIST-AI600-GOV-1Legal and Regulatory Compliance3 targets
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-3Privacy Leak Assessment
NIST-AI600-RISK-03Data Privacy

Manage(3 mappings)

AIRMF-MAN-01AI Risk Treatment
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MAN-03AI Incident Response
NIST-AI600-MGT-4Incident Response for GAI
NIST-AI600-MGT-4Incident Response for GAI
AIRMF-MAN-03AI Incident Response

Map(8 mappings)

AIRMF-MAP-02AI Risk Identification5 targets
AIRMF-MAP-03AI Impact Assessment
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MAP-2Stakeholder Impact Assessment
NIST-AI600-MEA-4Environmental Impact Measurement
NIST-AI600-RISK-04Environmental Impacts
AIRMF-MAP-03AI Impact Assessment2 targets
AIRMF-MAP-02AI Risk Identification
NIST-AI600-MAP-2Stakeholder Impact Assessment
NIST-AI600-MAP-1GAI Risk Identification
AIRMF-MAP-02AI Risk Identification

+18 more mappings

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Related Comparisons

Other NIST AI Risk Management Framework (AI RMF 1.0) comparisons

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and NIST AI 600-1 Generative AI Profile?

NIST AI Risk Management Framework (AI RMF 1.0) has 31 controls across its framework, while NIST AI 600-1 Generative AI Profile covers 43 controls. Direct mapping analysis identifies 14 overlapping controls (45% coverage). The frameworks diverge most significantly in Govern, where 6 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct NIST AI 600-1 Generative AI Profile equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and NIST AI 600-1 Generative AI Profile?

Of 31 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 14 map directly to NIST AI 600-1 Generative AI Profile controls — representing 45% coverage. The remaining 17 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping NIST AI Risk Management Framework (AI RMF 1.0) to NIST AI 600-1 Generative AI Profile?

17 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in NIST AI 600-1 Generative AI Profile. The highest concentration of gaps is in Govern with 6 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.

Which control domains have the most gaps between NIST AI Risk Management Framework (AI RMF 1.0) and NIST AI 600-1 Generative AI Profile?

The domain with the highest gap count is Govern (6 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

This platform provides educational compliance tools, not legal, regulatory, or professional compliance advice. Cross-framework mappings are AI-assisted interpretations and do not reproduce or replace official standards. Framework names and trademarks belong to their respective owners. Consult qualified professionals for your specific compliance requirements. See our Terms of Service.