Cross-Framework Mapping

Virginia CDPAvsNIST AI Risk Management Framework (AI RMF 1.0)

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

11
Controls Mapped
0
Gaps Found
67%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Virginia CDPA maps to NIST AI Risk Management Framework (AI RMF 1.0) with 67% coverage across 4 directly mapped controls. Analysis of 6 Virginia CDPA controls identifies 2 compliance gaps — primarily concentrated in Enforcement.

Source: TheArtOfService Knowledge Graph | 6 controls analysed | 718 frameworks | 330K+ cross-framework mappings

Control Mappings

Showing 11 of 11 mapped controls across 4 domains. Sign up to explore all 330K+ mappings across 718 frameworks.

Scope(3 mappings)

VIRGINIAVCDPA-1Scope, Applicability, Definitions3 targets
NIST-AI600-GOV-1Legal and Regulatory Compliance
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-3Privacy Leak Assessment

Rights(1 mappings)

VIRGINIAVCDPA-2Consumer Rights
NIST-AI600-MGT-1Content Provenance Implementation

Sensitive(6 mappings)

VIRGINIAVCDPA-3Sensitive Data Consent and Children6 targets
AIRMF-MAN-03AI Incident Response
AIRMF-MAP-02AI Risk Identification
AIRMF-MAP-03AI Impact Assessment
NIST-AI600-MAP-2Stakeholder Impact Assessment
NIST-AI600-MGT-4Incident Response for GAI
NIST-AI600-MGT-5Decommissioning Procedures

Notice and DPIA(1 mappings)

VIRGINIAVCDPA-4Privacy Notice and DPIA
NIST-AI600-GOV-1Legal and Regulatory Compliance

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What are the key differences between Virginia CDPA and NIST AI Risk Management Framework (AI RMF 1.0)?

Virginia CDPA has 6 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 52 controls. Direct mapping analysis identifies 4 overlapping controls (67% coverage). The frameworks diverge most significantly in Enforcement, where 1 Virginia CDPA controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.

How many controls map between Virginia CDPA and NIST AI Risk Management Framework (AI RMF 1.0)?

Of 6 total Virginia CDPA controls, 4 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 67% coverage. The remaining 2 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Virginia CDPA to NIST AI Risk Management Framework (AI RMF 1.0)?

2 Virginia CDPA controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in Enforcement with 1 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 Virginia CDPA and NIST AI Risk Management Framework (AI RMF 1.0)?

The domain with the highest gap count is Enforcement (1 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.