NIST AI 600-1 Generative AI ProfilevsNIST AI Risk Management Framework (AI RMF 1.0)
See exactly how NIST AI 600-1 Generative AI Profile controls map to NIST AI Risk Management Framework (AI RMF 1.0). Pre-computed mappings, identified gaps, and coverage analysis.
According to the TheArtOfService Compliance Knowledge Graph:
NIST AI 600-1 Generative AI Profile maps to NIST AI Risk Management Framework (AI RMF 1.0) with 42% coverage across 18 directly mapped controls. Analysis of 43 NIST AI 600-1 Generative AI Profile controls identifies 25 compliance gaps — primarily concentrated in GAI Risk Categories.
Source: TheArtOfService Knowledge Graph | 43 controls analysed | 693 frameworks | 819K+ cross-framework mappings
Control Mappings
Showing 20 of 38 mapped controls across 5 domains. Sign up to explore all 819K+ mappings across 693 frameworks.
Govern(8 mappings)
Manage(3 mappings)
Map(9 mappings)
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What are the key differences between NIST AI 600-1 Generative AI Profile and NIST AI Risk Management Framework (AI RMF 1.0)?
NIST AI 600-1 Generative AI Profile has 43 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 31 controls. Direct mapping analysis identifies 18 overlapping controls (42% coverage). The frameworks diverge most significantly in GAI Risk Categories, where 8 NIST AI 600-1 Generative AI Profile controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.
How many controls map between NIST AI 600-1 Generative AI Profile and NIST AI Risk Management Framework (AI RMF 1.0)?
Of 43 total NIST AI 600-1 Generative AI Profile controls, 18 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 42% coverage. The remaining 25 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.
What are the compliance gaps when mapping NIST AI 600-1 Generative AI Profile to NIST AI Risk Management Framework (AI RMF 1.0)?
25 NIST AI 600-1 Generative AI Profile controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in GAI Risk Categories with 8 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 600-1 Generative AI Profile and NIST AI Risk Management Framework (AI RMF 1.0)?
The domain with the highest gap count is GAI Risk Categories (8 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
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