Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsAICPA Privacy Management Framework (PMF)

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

22
Controls Mapped
9
Gaps Found
35%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to AICPA Privacy Management Framework (PMF) with 35% coverage across 11 directly mapped controls. Analysis of 31 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 20 compliance gaps — primarily concentrated in Govern.

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

Control Mappings

Showing 20 of 22 mapped controls across 4 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Govern(5 mappings)

AIRMF-GOV-01AI Risk Management Policies2 targets
PMF-M.1Privacy Program Governance
PMF-ME.3Enforcement and Remediation
NIST-AI600-GOV-1Legal and Regulatory Compliance3 targets
PMF-DI.1Data Accuracy
PMF-DI.2Data Quality Processes
PMF-ME.2Complaint Handling

Manage(3 mappings)

AIRMF-MAN-03AI Incident Response2 targets
PMF-M.4Privacy Incident Management
PMF-ME.3Enforcement and Remediation
NIST-AI600-MGT-4Incident Response for GAI
PMF-M.4Privacy Incident Management

Map(8 mappings)

AIRMF-MAP-02AI Risk Identification2 targets
Man 03Responsible Construction Practices
PMF-M.3Privacy Risk Assessment
AIRMF-MAP-03AI Impact Assessment
PMF-M.3Privacy Risk Assessment
NIST-AI600-MAP-1GAI Risk Identification4 targets
Man 03Responsible Construction Practices
PMF-DI.1Data Accuracy
PMF-DI.2Data Quality Processes
PMF-ME.2Complaint Handling
NIST-AI600-MAP-2Stakeholder Impact Assessment
PMF-M.3Privacy Risk Assessment

Measure(4 mappings)

AIRMF-MEA-01AI Performance Metrics2 targets
PMF-M.1Privacy Program Governance
PMF-ME.3Enforcement and Remediation
NIST-AI600-MEA-3Privacy Leak Assessment2 targets
PMF-DI.1Data Accuracy
PMF-DI.2Data Quality Processes

+2 more mappings

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Related Comparisons

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

Other AICPA Privacy Management Framework (PMF) comparisons

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and AICPA Privacy Management Framework (PMF)?

NIST AI Risk Management Framework (AI RMF 1.0) has 31 controls across its framework, while AICPA Privacy Management Framework (PMF) covers 31 controls. Direct mapping analysis identifies 11 overlapping controls (35% coverage). The frameworks diverge most significantly in Govern, where 7 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct AICPA Privacy Management Framework (PMF) equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and AICPA Privacy Management Framework (PMF)?

Of 31 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 11 map directly to AICPA Privacy Management Framework (PMF) controls — representing 35% coverage. The remaining 20 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 AICPA Privacy Management Framework (PMF)?

20 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in AICPA Privacy Management Framework (PMF). The highest concentration of gaps is in Govern with 7 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 AICPA Privacy Management Framework (PMF)?

The domain with the highest gap count is Govern (7 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.