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Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsISO 22320:2018

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to ISO 22320:2018. Pre-computed mappings, identified gaps, and coverage analysis.

14
Controls Mapped
38
Gaps Found
10%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to ISO 22320:2018 with 10% coverage across 5 directly mapped controls. Analysis of 52 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 47 compliance gaps — primarily concentrated in Measure.

Source: TheArtOfService Knowledge Graph | 52 controls analysed | 719 frameworks | 428K+ cross-framework mappings

Control Mappings

Showing 14 of 14 mapped controls across 3 domains. Sign up to explore all 428K+ mappings across 719 frameworks.

Govern(4 mappings)

AIRMF-GOV-01AI Risk Management Policies4 targets
→ISO-22320-4.3Risk-based approach
→ISO-22320-5.1General process requirements
→ISO-22320-5.3Incident management structure (command)
→ISO-22320-5.4Roles and responsibilities

Manage(7 mappings)

AIRMF-MAN-01AI Risk Treatment
→ISO-22320-4.3Risk-based approach
AIRMF-MAN-03AI Incident Response3 targets
→ISO-22320-5.2Incident management process
→ISO-22320-BAnnex B: Incident management plan structure
→ISO-22320-CAnnex C: Incident management task examples
NIST-AI600-MGT-4Incident Response for GAI3 targets
→ISO-22320-5.2Incident management process
→ISO-22320-BAnnex B: Incident management plan structure
→ISO-22320-CAnnex C: Incident management task examples

Measure(3 mappings)

AIRMF-MEA-01AI Performance Metrics3 targets
→ISO-22320-5.1General process requirements
→ISO-22320-5.3Incident management structure (command)
→ISO-22320-5.4Roles and responsibilities

Related Comparisons

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

NIST AI Risk Management Framework (AI RMF 1.0) vs Canada Artificial Intelligence and Data Act (AIDA)20 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs ASEAN Guide on AI Governance and Ethics16 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs NIST AI 600-1: Generative AI Profile14 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs NIS2 Directive14 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL)13 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs TISAX - Trusted Information Security Assessment Exchange13 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs ISO/IEC 23894:202313 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs PAS 1192-5:2015 - Security-Minded Approach to BIM and Digital Built Environments13 mappings

Other ISO 22320:2018 comparisons

APRA CPS 234 vs ISO 22320:20187 mappingsSingapore Government Instruction Manual on ICT&SS Management (IM8) vs ISO 22320:20187 mappingsHKMA Cyber Resilience Assessment Framework (C-RAF) vs ISO 22320:20187 mappingsNIST SP 800-171A Rev 3 - Assessing CUI Security Requirements vs ISO 22320:20187 mappingsFFIEC IT Examination Handbook vs ISO 22320:20187 mappingsHKMA SPM vs ISO 22320:20187 mappingsGLBA vs ISO 22320:20187 mappingsAnnex 11 to EU GMP - Computerised Systems vs ISO 22320:20187 mappings

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and ISO 22320:2018?

NIST AI Risk Management Framework (AI RMF 1.0) has 52 controls across its framework, while ISO 22320:2018 covers 37 controls. Direct mapping analysis identifies 5 overlapping controls (10% coverage). The frameworks diverge most significantly in Measure, where 13 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct ISO 22320:2018 equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and ISO 22320:2018?

Of 52 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 5 map directly to ISO 22320:2018 controls — representing 10% coverage. The remaining 47 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 ISO 22320:2018?

47 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in ISO 22320:2018. The highest concentration of gaps is in Measure with 13 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 ISO 22320:2018?

The domain with the highest gap count is Measure (13 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

Related Resources

How to Map Controls Across Frameworks|Multi-Framework Compliance Guide|Compliance Glossary

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