Cross-Framework Mapping

APRA CPS 234vsOECD Recommendation on Artificial Intelligence (2024 Update)

See exactly how APRA CPS 234 controls map to OECD Recommendation on Artificial Intelligence (2024 Update). Pre-computed mappings, identified gaps, and coverage analysis.

5
Controls Mapped
30
Gaps Found
9%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

APRA CPS 234 maps to OECD Recommendation on Artificial Intelligence (2024 Update) with 9% coverage across 5 directly mapped controls. Analysis of 35 APRA CPS 234 controls identifies 40 compliance gaps — primarily concentrated in APRA CPS 234: Incident Management & Reporting.

Source: TheArtOfService Knowledge Graph | 35 controls analysed | 723 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 5 of 5 mapped controls across 3 domains. Sign up to explore all 332K+ mappings across 723 frameworks.

Third Party(1 mappings)

CPS234-16Capability of Third Parties
OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation

APRA CPS 234: Third-Party Risk Management(3 mappings)

CPS234-16Capability of Third Parties
OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation
CPS234-18Ongoing monitoring and assessment
OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation
CPS234-20Information Asset Identification and Classification
OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation

Asset Management(1 mappings)

CPS234-20Information Asset Identification and Classification
OECDAI24-3Frontier Model Risk Management, Capability Disclosure, and Independent Evaluation

Related Comparisons

Other APRA CPS 234 comparisons

Other OECD Recommendation on Artificial Intelligence (2024 Update) comparisons

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What are the key differences between APRA CPS 234 and OECD Recommendation on Artificial Intelligence (2024 Update)?

APRA CPS 234 has 35 controls across its framework, while OECD Recommendation on Artificial Intelligence (2024 Update) covers 8 controls. Direct mapping analysis identifies 5 overlapping controls (9% coverage). The frameworks diverge most significantly in APRA CPS 234: Incident Management & Reporting, where 5 APRA CPS 234 controls have no direct OECD Recommendation on Artificial Intelligence (2024 Update) equivalent.

How many controls map between APRA CPS 234 and OECD Recommendation on Artificial Intelligence (2024 Update)?

Of 35 total APRA CPS 234 controls, 5 map directly to OECD Recommendation on Artificial Intelligence (2024 Update) controls — representing 9% coverage. The remaining 40 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping APRA CPS 234 to OECD Recommendation on Artificial Intelligence (2024 Update)?

40 APRA CPS 234 controls have no direct equivalent in OECD Recommendation on Artificial Intelligence (2024 Update). The highest concentration of gaps is in APRA CPS 234: Incident Management & Reporting with 5 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 APRA CPS 234 and OECD Recommendation on Artificial Intelligence (2024 Update)?

The domain with the highest gap count is APRA CPS 234: Incident Management & Reporting (5 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.