Qatar Personal Data Privacy Protection Law (Law No. 13 of 2016)vsNIST AI Risk Management Framework (AI RMF 1.0)
See exactly how Qatar Personal Data Privacy Protection Law (Law No. 13 of 2016) controls map to NIST AI Risk Management Framework (AI RMF 1.0). Pre-computed mappings, identified gaps, and coverage analysis.
According to the TheArtOfService Compliance Knowledge Graph:
Qatar Personal Data Privacy Protection Law (Law No. 13 of 2016) maps to NIST AI Risk Management Framework (AI RMF 1.0) with 20% coverage across 9 directly mapped controls. Analysis of 44 Qatar Personal Data Privacy Protection Law (Law No. 13 of 2016) controls identifies 35 compliance gaps — primarily concentrated in Chapter 2 - Obligations of the Controller.
Source: TheArtOfService Knowledge Graph | 44 controls analysed | 701 frameworks | 337K+ cross-framework mappings
Control Mappings
Showing 16 of 16 mapped controls across 6 domains. Sign up to explore all 337K+ mappings across 701 frameworks.
Chapter 4 - Data Breach Notification(2 mappings)
Chapter 5 - Rights of the Data Subject(5 mappings)
Chapter 1 - Definitions and Scope(2 mappings)
Chapter 6 - Cross-Border Data Transfers(1 mappings)
Chapter 7 - Penalties and Final Provisions(2 mappings)
Chapter 2 - Obligations of the Controller(4 mappings)
Related Comparisons
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What are the key differences between Qatar Personal Data Privacy Protection Law (Law No. 13 of 2016) and NIST AI Risk Management Framework (AI RMF 1.0)?
Qatar Personal Data Privacy Protection Law (Law No. 13 of 2016) has 44 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 52 controls. Direct mapping analysis identifies 9 overlapping controls (20% coverage). The frameworks diverge most significantly in Chapter 2 - Obligations of the Controller, where 4 Qatar Personal Data Privacy Protection Law (Law No. 13 of 2016) controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.
How many controls map between Qatar Personal Data Privacy Protection Law (Law No. 13 of 2016) and NIST AI Risk Management Framework (AI RMF 1.0)?
Of 44 total Qatar Personal Data Privacy Protection Law (Law No. 13 of 2016) controls, 9 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 20% coverage. The remaining 35 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.
What are the compliance gaps when mapping Qatar Personal Data Privacy Protection Law (Law No. 13 of 2016) to NIST AI Risk Management Framework (AI RMF 1.0)?
35 Qatar Personal Data Privacy Protection Law (Law No. 13 of 2016) controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in Chapter 2 - Obligations of the Controller with 4 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 Qatar Personal Data Privacy Protection Law (Law No. 13 of 2016) and NIST AI Risk Management Framework (AI RMF 1.0)?
The domain with the highest gap count is Chapter 2 - Obligations of the Controller (4 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
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