Cross-Framework Mapping

ISO 27017vsNIST AI Risk Management Framework (AI RMF 1.0)

See exactly how ISO 27017 controls map to NIST AI Risk Management Framework (AI RMF 1.0). Pre-computed mappings, identified gaps, and coverage analysis.

13
Controls Mapped
24
Gaps Found
22%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

ISO 27017 maps to NIST AI Risk Management Framework (AI RMF 1.0) with 22% coverage across 8 directly mapped controls. Analysis of 37 ISO 27017 controls identifies 29 compliance gaps — primarily concentrated in Cloud-specific.

Source: TheArtOfService Knowledge Graph | 37 controls analysed | 718 frameworks | 330K+ cross-framework mappings

Control Mappings

Showing 13 of 13 mapped controls across 3 domains. Sign up to explore all 330K+ mappings across 718 frameworks.

ISO 27017: Cloud Governance(6 mappings)

ISO27017-01Shared responsibility model definition2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MEA-01AI Performance Metrics
ISO27017-03Cloud risk assessment3 targets
AIRMF-MAP-02AI Risk Identification
AIRMF-MAP-03AI Impact Assessment
NIST-AI600-MAP-2Stakeholder Impact Assessment
ISO27017-04Regulatory compliance for cloud services
NIST-AI600-GOV-1Legal and Regulatory Compliance

ISO 27017: Data Protection in Cloud(4 mappings)

ISO27017-12Encryption of cloud-stored data2 targets
NIST-AI600-MGT-1Content Provenance Implementation
NIST-AI600-MGT-5Decommissioning Procedures
ISO27017-13Data residency and sovereignty
NIST-AI600-MGT-5Decommissioning Procedures
ISO27017-15Secure data deletion in cloud
NIST-AI600-MGT-5Decommissioning Procedures

ISO 27017: Cloud Operations & Monitoring(3 mappings)

ISO27017-22Incident response in cloud2 targets
AIRMF-MAN-03AI Incident Response
NIST-AI600-MGT-4Incident Response for GAI
ISO27017-23Cloud vulnerability management
AIRMF-MAN-03AI Incident Response

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What are the key differences between ISO 27017 and NIST AI Risk Management Framework (AI RMF 1.0)?

ISO 27017 has 37 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 52 controls. Direct mapping analysis identifies 8 overlapping controls (22% coverage). The frameworks diverge most significantly in Cloud-specific, where 7 ISO 27017 controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.

How many controls map between ISO 27017 and NIST AI Risk Management Framework (AI RMF 1.0)?

Of 37 total ISO 27017 controls, 8 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 22% coverage. The remaining 29 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping ISO 27017 to NIST AI Risk Management Framework (AI RMF 1.0)?

29 ISO 27017 controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in Cloud-specific 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 ISO 27017 and NIST AI Risk Management Framework (AI RMF 1.0)?

The domain with the highest gap count is Cloud-specific (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.