Cross-Framework Mapping

Japan AI GuidelinesvsISO 27019

See exactly how Japan AI Guidelines controls map to ISO 27019. Pre-computed mappings, identified gaps, and coverage analysis.

6
Controls Mapped
7
Gaps Found
38%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Japan AI Guidelines maps to ISO 27019 with 38% coverage across 5 directly mapped controls. Analysis of 13 Japan AI Guidelines controls identifies 8 compliance gaps — primarily concentrated in JP AI Third-Party + Supply Chain.

Source: TheArtOfService Knowledge Graph | 13 controls analysed | 718 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 6 of 6 mapped controls across 5 domains. Sign up to explore all 332K+ mappings across 718 frameworks.

JP AI Continuous Monitoring + Lifecycle(1 mappings)

JP-AIG-Continuous-Monitoring-Lifecycle-Model-Evaluation-Performance-Drift-Post-DeploymentJapan AI Guidelines Continuous Monitoring + AI System Lifecycle Management + Model Evaluation + Performance Drift + Concept Drift + Post-Deployment + Retraining Triggers + Safe Update + Decommissioning + Model Card Versioning
ISO27019-21Supply chain risk management for critical components

JP AI Fairness + Bias(1 mappings)

JP-AIG-Fairness-Bias-Detection-Mitigation-Inclusive-AI-Discrimination-Prevention-10-Principles-2019-HeritageJapan AI Guidelines Fairness + Bias Detection + Mitigation + Inclusive AI + Discrimination Prevention + 10 Principles 2019 Heritage + Protected Attributes + Disparate Impact + Statistical Parity + Counterfactual Fairness
ISO27019-21Supply chain risk management for critical components

JP AI Risk-Based Categorisation(1 mappings)

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
ISO27019-02System security categorization

JP AI Safety + AISI(1 mappings)

JP-AIG-Safety-Validation-Testing-Robustness-AISI-AI-Safety-Institute-Pre-Deployment-Evaluation-Red-TeamingJapan AI Guidelines Safety + Validation + Testing + Robustness + AISI AI Safety Institute (14 Feb 2024) + Pre-Deployment Evaluation + Red Teaming + Capability Evaluations + AI Incident Database + Safe Deployment + AI Safety Reports
ISO27019-21Supply chain risk management for critical components

JP AI Scope + Society 5.0 + Strategy(2 mappings)

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 Principles2 targets
ISO27019-07Personnel risk assessment
ISO27019-24Vulnerability assessment for critical systems

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What are the key differences between Japan AI Guidelines and ISO 27019?

Japan AI Guidelines has 13 controls across its framework, while ISO 27019 covers 46 controls. Direct mapping analysis identifies 5 overlapping controls (38% coverage). The frameworks diverge most significantly in JP AI Third-Party + Supply Chain, where 1 Japan AI Guidelines controls have no direct ISO 27019 equivalent.

How many controls map between Japan AI Guidelines and ISO 27019?

Of 13 total Japan AI Guidelines controls, 5 map directly to ISO 27019 controls — representing 38% coverage. The remaining 8 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Japan AI Guidelines to ISO 27019?

8 Japan AI Guidelines controls have no direct equivalent in ISO 27019. The highest concentration of gaps is in JP AI Third-Party + Supply Chain 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 Japan AI Guidelines and ISO 27019?

The domain with the highest gap count is JP AI Third-Party + Supply Chain (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.