NIST AI 600-1 Generative AI ProfilevsUS ITAR and EAR — Export Control and Data Security
See exactly how NIST AI 600-1 Generative AI Profile controls map to US ITAR and EAR — Export Control and Data Security. Pre-computed mappings, identified gaps, and coverage analysis.
According to the TheArtOfService Compliance Knowledge Graph:
NIST AI 600-1 Generative AI Profile maps to US ITAR and EAR — Export Control and Data Security with 37% coverage across 16 directly mapped controls. Analysis of 43 NIST AI 600-1 Generative AI Profile controls identifies 27 compliance gaps — primarily concentrated in GAI Risk Categories.
Source: TheArtOfService Knowledge Graph | 43 controls analysed | 693 frameworks | 819K+ cross-framework mappings
Control Mappings
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What are the key differences between NIST AI 600-1 Generative AI Profile and US ITAR and EAR — Export Control and Data Security?
NIST AI 600-1 Generative AI Profile has 43 controls across its framework, while US ITAR and EAR — Export Control and Data Security covers 41 controls. Direct mapping analysis identifies 16 overlapping controls (37% coverage). The frameworks diverge most significantly in GAI Risk Categories, where 10 NIST AI 600-1 Generative AI Profile controls have no direct US ITAR and EAR — Export Control and Data Security equivalent.
How many controls map between NIST AI 600-1 Generative AI Profile and US ITAR and EAR — Export Control and Data Security?
Of 43 total NIST AI 600-1 Generative AI Profile controls, 16 map directly to US ITAR and EAR — Export Control and Data Security controls — representing 37% coverage. The remaining 27 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 US ITAR and EAR — Export Control and Data Security?
27 NIST AI 600-1 Generative AI Profile controls have no direct equivalent in US ITAR and EAR — Export Control and Data Security. The highest concentration of gaps is in GAI Risk Categories with 10 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 US ITAR and EAR — Export Control and Data Security?
The domain with the highest gap count is GAI Risk Categories (10 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
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