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Cross-Framework Mapping

ISO 27017vsJapan AI Guidelines

See exactly how ISO 27017 controls map to Japan AI Guidelines. Pre-computed mappings, identified gaps, and coverage analysis.

6
Controls Mapped
31
Gaps Found
16%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

ISO 27017 maps to Japan AI Guidelines with 16% coverage across 6 directly mapped controls. Analysis of 37 ISO 27017 controls identifies 31 compliance gaps — primarily concentrated in Cloud-specific.

Source: TheArtOfService Knowledge Graph | 37 controls analysed | 706 frameworks | 324K+ cross-framework mappings

Control Mappings

Showing 6 of 6 mapped controls across 2 domains. Sign up to explore all 324K+ mappings across 706 frameworks.

ISO 27017: Cloud Governance(2 mappings)

ISO27017-03Cloud risk assessment
→JP-AIG-Scope-METI-MIC-AI-Guidelines-Business-v1.0-April2024-Society-5.0-Cabinet-Office-AI-Strategy-CouncilJapan AI Guidelines Scope + METI/MIC AI Guidelines for Business v1.0 (April 2024) + Society 5.0 + Cabinet Office AI Strategy Council + 10 Principles 2019 Heritage + Education + Literacy + Fair Competition + Innovation Principles
ISO27017-04Regulatory compliance for cloud services
→JP-AIG-Accountability-Governance-AI-Inventory-Stakeholder-Engagement-Board-Reporting-Tone-at-TopJapan AI Guidelines Accountability + Governance + AI Inventory + Stakeholder Engagement + Board Reporting + Tone at Top + AI Ethics Committee + DPO + AI Officer + Regulatory Compliance + Multi-Stakeholder

ISO 27017: Data Protection in Cloud(4 mappings)

ISO27017-11Data classification for cloud
→JP-AIG-Risk-Based-AI-System-Categorisation-Tiered-Approach-EU-AI-Act-Aligned-Generative-Foundation-ModelsJapan AI Guidelines Risk-Based AI System Categorisation + Tiered Approach + EU AI Act Aligned + Generative AI + Foundation Models + High-Risk + Limited-Risk + Minimal-Risk + AISI Capability-Based Thresholds
ISO27017-12Encryption of cloud-stored data
→JP-AIG-Data-Governance-Training-Data-Quality-Provenance-Lineage-Copyright-APPI-Personal-Information-ProtectionJapan AI Guidelines Data Governance + Training Data Quality + Provenance + Lineage + Copyright Act 2018 Article 30-4 Text Data Mining Exception + APPI 2022 Amendment + Personal Information Protection + Privacy Principle
ISO27017-13Data residency and sovereignty
→JP-AIG-Data-Governance-Training-Data-Quality-Provenance-Lineage-Copyright-APPI-Personal-Information-ProtectionJapan AI Guidelines Data Governance + Training Data Quality + Provenance + Lineage + Copyright Act 2018 Article 30-4 Text Data Mining Exception + APPI 2022 Amendment + Personal Information Protection + Privacy Principle
ISO27017-15Secure data deletion in cloud
→JP-AIG-Data-Governance-Training-Data-Quality-Provenance-Lineage-Copyright-APPI-Personal-Information-ProtectionJapan AI Guidelines Data Governance + Training Data Quality + Provenance + Lineage + Copyright Act 2018 Article 30-4 Text Data Mining Exception + APPI 2022 Amendment + Personal Information Protection + Privacy Principle

Related Comparisons

Other ISO 27017 comparisons

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Other Japan AI Guidelines comparisons

ISO/IEC 23894:2023 vs Japan AI Guidelines6 mappingsNIST Privacy Framework vs Japan AI Guidelines5 mappingsISO/IEC 27557:2022 - Organisational Privacy Risk Management vs Japan AI Guidelines5 mappingsIEC 62443 vs Japan AI Guidelines5 mappingsNIST AI Risk Management Framework (AI RMF 1.0) vs Japan AI Guidelines5 mappingsAPI 1164 vs Japan AI Guidelines5 mappingsISO 27019 vs Japan AI Guidelines5 mappingsUK Defence Standard 05-138 - Cyber Security for Defence Suppliers vs Japan AI Guidelines4 mappings

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What are the key differences between ISO 27017 and Japan AI Guidelines?

ISO 27017 has 37 controls across its framework, while Japan AI Guidelines covers 13 controls. Direct mapping analysis identifies 6 overlapping controls (16% coverage). The frameworks diverge most significantly in Cloud-specific, where 7 ISO 27017 controls have no direct Japan AI Guidelines equivalent.

How many controls map between ISO 27017 and Japan AI Guidelines?

Of 37 total ISO 27017 controls, 6 map directly to Japan AI Guidelines controls — representing 16% coverage. The remaining 31 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 Japan AI Guidelines?

31 ISO 27017 controls have no direct equivalent in Japan AI Guidelines. 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 Japan AI Guidelines?

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.

Related Resources

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

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.