Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL)vsVermont Artificial Intelligence and Consumer Data Act (AICDA)
See exactly how Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) controls map to Vermont Artificial Intelligence and Consumer Data Act (AICDA). Pre-computed mappings, identified gaps, and coverage analysis.
According to the TheArtOfService Compliance Knowledge Graph:
Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) maps to Vermont Artificial Intelligence and Consumer Data Act (AICDA) with 50% coverage across 6 directly mapped controls. Analysis of 12 Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) controls identifies 6 compliance gaps — primarily concentrated in UAE PDPL: UAE Data Office, Penalties, Free Zones (Articles 25-29 and Free Zone Coordination).
Source: TheArtOfService Knowledge Graph | 12 controls analysed | 718 frameworks | 332K+ cross-framework mappings
Control Mappings
Showing 8 of 8 mapped controls across 4 domains. Sign up to explore all 332K+ mappings across 718 frameworks.
UAE PDPL: Controller and Processor Obligations (Articles 8-10, 18-21)(5 mappings)
UAE PDPL: UAE Data Office, Penalties, Free Zones (Articles 25-29 and Free Zone Coordination)(1 mappings)
UAE PDPL: Lawful Basis, Consent and Principles (Articles 4-6)(1 mappings)
UAE PDPL: Sensitive Personal Data and Children (Articles 6-7)(1 mappings)
Related Comparisons
Other Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) comparisons
Other Vermont Artificial Intelligence and Consumer Data Act (AICDA) comparisons
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What are the key differences between Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) and Vermont Artificial Intelligence and Consumer Data Act (AICDA)?
Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) has 12 controls across its framework, while Vermont Artificial Intelligence and Consumer Data Act (AICDA) covers 4 controls. Direct mapping analysis identifies 6 overlapping controls (50% coverage). The frameworks diverge most significantly in UAE PDPL: UAE Data Office, Penalties, Free Zones (Articles 25-29 and Free Zone Coordination), where 2 Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) controls have no direct Vermont Artificial Intelligence and Consumer Data Act (AICDA) equivalent.
How many controls map between Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) and Vermont Artificial Intelligence and Consumer Data Act (AICDA)?
Of 12 total Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) controls, 6 map directly to Vermont Artificial Intelligence and Consumer Data Act (AICDA) controls — representing 50% coverage. The remaining 6 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.
What are the compliance gaps when mapping Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) to Vermont Artificial Intelligence and Consumer Data Act (AICDA)?
6 Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) controls have no direct equivalent in Vermont Artificial Intelligence and Consumer Data Act (AICDA). The highest concentration of gaps is in UAE PDPL: UAE Data Office, Penalties, Free Zones (Articles 25-29 and Free Zone Coordination) with 2 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 Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (UAE PDPL) and Vermont Artificial Intelligence and Consumer Data Act (AICDA)?
The domain with the highest gap count is UAE PDPL: UAE Data Office, Penalties, Free Zones (Articles 25-29 and Free Zone Coordination) (2 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
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