Cross-Framework Mapping

Japan AI GuidelinesvsAPRA CPS 230 Operational Risk Management

See exactly how Japan AI Guidelines controls map to APRA CPS 230 Operational Risk Management. Pre-computed mappings, identified gaps, and coverage analysis.

10
Controls Mapped
3
Gaps Found
31%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Japan AI Guidelines maps to APRA CPS 230 Operational Risk Management with 31% coverage across 4 directly mapped controls. Analysis of 13 Japan AI Guidelines controls identifies 9 compliance gaps — primarily concentrated in JP AI Third-Party + Supply Chain.

Source: TheArtOfService Knowledge Graph | 13 controls analysed | 706 frameworks | 324K+ cross-framework mappings

Control Mappings

Showing 10 of 10 mapped controls across 4 domains. Sign up to explore all 324K+ mappings across 706 frameworks.

JP AI Continuous Monitoring + Lifecycle(3 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 Versioning3 targets
CPS230-16Internal Audit Review
CPS230-37Service Provider Management Policy
CPS230-46Ongoing Risk Management

JP AI Fairness + Bias(3 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 Fairness3 targets
CPS230-16Internal Audit Review
CPS230-37Service Provider Management Policy
CPS230-46Ongoing Risk Management

JP AI Safety + AISI(3 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 Reports3 targets
CPS230-16Internal Audit Review
CPS230-37Service Provider Management Policy
CPS230-46Ongoing Risk Management

JP AI Scope + Society 5.0 + Strategy(1 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 Principles
CPS230-11Risk Identification and Assessment

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What are the key differences between Japan AI Guidelines and APRA CPS 230 Operational Risk Management?

Japan AI Guidelines has 13 controls across its framework, while APRA CPS 230 Operational Risk Management covers 47 controls. Direct mapping analysis identifies 4 overlapping controls (31% coverage). The frameworks diverge most significantly in JP AI Third-Party + Supply Chain, where 1 Japan AI Guidelines controls have no direct APRA CPS 230 Operational Risk Management equivalent.

How many controls map between Japan AI Guidelines and APRA CPS 230 Operational Risk Management?

Of 13 total Japan AI Guidelines controls, 4 map directly to APRA CPS 230 Operational Risk Management controls — representing 31% coverage. The remaining 9 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 APRA CPS 230 Operational Risk Management?

9 Japan AI Guidelines controls have no direct equivalent in APRA CPS 230 Operational Risk Management. 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 APRA CPS 230 Operational Risk Management?

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.