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Cross-Framework Mapping

Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022)vsGDPR

See exactly how Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls map to GDPR. Pre-computed mappings, identified gaps, and coverage analysis.

5
Controls Mapped
43
Gaps Found
6%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) maps to GDPR with 6% coverage across 3 directly mapped controls. Analysis of 48 Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls identifies 45 compliance gaps — primarily concentrated in Algorithm Recommendation.

Source: TheArtOfService Knowledge Graph | 48 controls analysed | 723 frameworks | 332K+ cross-framework mappings

Control Mappings

Showing 5 of 5 mapped controls across 2 domains. Sign up to explore all 332K+ mappings across 723 frameworks.

Deep Synthesis(2 mappings)

CN-DS-A14Training Data Security and Biometric Consent2 targets
→GDPR-Art.7Conditions for consent
→GDPR-Art.9Processing of special categories of personal data

Generative AI Measures(3 mappings)

CN-GAI-A11Protection of User Input and Records
→GDPR-Art.5Principles relating to processing of personal data
CN-GAI-A7Training Data Lawfulness2 targets
→GDPR-Art.6Lawfulness of processing
→GDPR-Art.9Processing of special categories of personal data

Related Comparisons

Other Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) comparisons

Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) vs NIST AI Risk Management Framework (AI RMF 1.0)18 mappingsAdministrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) vs OECD Recommendation on Artificial Intelligence (2024 Update)11 mappingsAdministrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) vs ISO 27701:20191 mappingsAdministrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) vs NIST SP 800-53 Rev 51 mappings

Other GDPR comparisons

Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) vs GDPR22 mappingsAICPA Privacy Management Framework (PMF) vs GDPR20 mappingsAlbania Law on Protection of Personal Data (Law No. 9887, 2008, amended 2014) vs GDPR18 mappingsAPPI vs GDPR18 mappingsChina Personal Information Protection Law (PIPL) vs GDPR15 mappingsAustralian Privacy Principles (APPs) vs GDPR14 mappingsArmenia Law on Protection of Personal Data (2015) vs GDPR14 mappingsBahrain PDPL vs GDPR13 mappings

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What are the key differences between Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) and GDPR?

Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) has 48 controls across its framework, while GDPR covers 27 controls. Direct mapping analysis identifies 3 overlapping controls (6% coverage). The frameworks diverge most significantly in Algorithm Recommendation, where 19 Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls have no direct GDPR equivalent.

How many controls map between Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) and GDPR?

Of 48 total Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls, 3 map directly to GDPR controls — representing 6% coverage. The remaining 45 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) to GDPR?

45 Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) controls have no direct equivalent in GDPR. The highest concentration of gaps is in Algorithm Recommendation with 19 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 Administrative Measures for the Security Assessment of Generative AI Services (2023) and Algorithmic Recommendation Management Provisions (2022) and GDPR?

The domain with the highest gap count is Algorithm Recommendation (19 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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