Cross-Framework Mapping

NIST AI 600-1 Generative AI ProfilevsCDP Corporate Questionnaire

See exactly how NIST AI 600-1 Generative AI Profile controls map to CDP Corporate Questionnaire. Pre-computed mappings, identified gaps, and coverage analysis.

15
Controls Mapped
28
Gaps Found
12%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI 600-1 Generative AI Profile maps to CDP Corporate Questionnaire with 12% coverage across 5 directly mapped controls. Analysis of 43 NIST AI 600-1 Generative AI Profile controls identifies 38 compliance gaps — primarily concentrated in GAI Risk Categories.

Source: TheArtOfService Knowledge Graph | 43 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 15 of 15 mapped controls across 4 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Map(4 mappings)

AIRMF-MAP-02AI Risk Identification2 targets
CDP-C1.3Incentives for Environmental Management
CDP-C11.1Biodiversity
NIST-AI600-MAP-1GAI Risk Identification2 targets
CDP-C1.3Incentives for Environmental Management
CDP-C11.1Biodiversity

Measure(5 mappings)

NIST-AI600-MEA-4Environmental Impact Measurement5 targets
CDP-C1.3Incentives for Environmental Management
CDP-C11.1Biodiversity
CDP-C4.1Emissions Reduction Targets
CDP-C4.3Progress Against Targets
CDP-C6.1Scope 1 Emissions

Manage(1 mappings)

NIST-AI600-MGT-3Third-Party Dependency Management
CDP-C8.1Forests

GAI Risk Categories(5 mappings)

NIST-AI600-RISK-04Environmental Impacts5 targets
CDP-C1.3Incentives for Environmental Management
CDP-C11.1Biodiversity
CDP-C4.1Emissions Reduction Targets
CDP-C4.3Progress Against Targets
CDP-C6.1Scope 1 Emissions

Related Comparisons

Other NIST AI 600-1 Generative AI Profile comparisons

Other CDP Corporate Questionnaire comparisons

Stop Paying Consultants to Read Spreadsheets

AI-powered compliance intelligence across 693 frameworks — at a fraction of consulting costs.

$0/forever

Free

  • 693 framework browser
  • Cross-framework mappings (819K+)
  • 824 compliance assessments
  • 3 AI queries & searches per day
Get Started Free
Recommended
$49/month

Professional

  • Unlimited AI Compliance Advisory
  • Unlimited full-text search
  • Framework self-assessment
  • PDF, Excel & CSV exports
Start 7-Day Free Trial →

What are the key differences between NIST AI 600-1 Generative AI Profile and CDP Corporate Questionnaire?

NIST AI 600-1 Generative AI Profile has 43 controls across its framework, while CDP Corporate Questionnaire covers 25 controls. Direct mapping analysis identifies 5 overlapping controls (12% coverage). The frameworks diverge most significantly in GAI Risk Categories, where 11 NIST AI 600-1 Generative AI Profile controls have no direct CDP Corporate Questionnaire equivalent.

How many controls map between NIST AI 600-1 Generative AI Profile and CDP Corporate Questionnaire?

Of 43 total NIST AI 600-1 Generative AI Profile controls, 5 map directly to CDP Corporate Questionnaire controls — representing 12% coverage. The remaining 38 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 CDP Corporate Questionnaire?

38 NIST AI 600-1 Generative AI Profile controls have no direct equivalent in CDP Corporate Questionnaire. The highest concentration of gaps is in GAI Risk Categories with 11 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 CDP Corporate Questionnaire?

The domain with the highest gap count is GAI Risk Categories (11 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.