Cross-Framework Mapping

Serbia Law on Personal Data Protection (2018)vsNIST AI 600-1 Generative AI Profile

See exactly how Serbia Law on Personal Data Protection (2018) controls map to NIST AI 600-1 Generative AI Profile. Pre-computed mappings, identified gaps, and coverage analysis.

34
Controls Mapped
0
Gaps Found
45%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

Serbia Law on Personal Data Protection (2018) maps to NIST AI 600-1 Generative AI Profile with 45% coverage across 13 directly mapped controls. Analysis of 29 Serbia Law on Personal Data Protection (2018) controls identifies 16 compliance gaps — primarily concentrated in VII — Remedies, Liability and Penalties.

Source: TheArtOfService Knowledge Graph | 29 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 20 of 34 mapped controls across 5 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

II — Principles(6 mappings)

Art. 12Data Ownership4 targets
NIST-AI600-GOV-1Legal and Regulatory Compliance
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-3Privacy Leak Assessment
NIST-AI600-RISK-03Data Privacy
Art. 17Governance Structure2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MEA-01AI Performance Metrics

I — Basic Provisions(4 mappings)

Art. 2Consent Definition2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MEA-01AI Performance Metrics
Art. 4Participating Institutions2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MEA-01AI Performance Metrics

III — Rights of Data Subjects(10 mappings)

Art. 21Administrative Sanctions
AIRMF-MAP-01AI System Context
Art. 26Outsourcing of Personal Information Processing5 targets
NIST-AI600-GOV-1Legal and Regulatory Compliance
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-3Privacy Leak Assessment
NIST-AI600-MGT-3Third-Party Dependency Management
NIST-AI600-RISK-03Data Privacy
Art. 29Safety Measures4 targets
NIST-AI600-GOV-1Legal and Regulatory Compliance
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-3Privacy Leak Assessment
NIST-AI600-RISK-03Data Privacy

+14 more mappings

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What are the key differences between Serbia Law on Personal Data Protection (2018) and NIST AI 600-1 Generative AI Profile?

Serbia Law on Personal Data Protection (2018) has 29 controls across its framework, while NIST AI 600-1 Generative AI Profile covers 43 controls. Direct mapping analysis identifies 13 overlapping controls (45% coverage). The frameworks diverge most significantly in VII — Remedies, Liability and Penalties, where 3 Serbia Law on Personal Data Protection (2018) controls have no direct NIST AI 600-1 Generative AI Profile equivalent.

How many controls map between Serbia Law on Personal Data Protection (2018) and NIST AI 600-1 Generative AI Profile?

Of 29 total Serbia Law on Personal Data Protection (2018) controls, 13 map directly to NIST AI 600-1 Generative AI Profile controls — representing 45% coverage. The remaining 16 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping Serbia Law on Personal Data Protection (2018) to NIST AI 600-1 Generative AI Profile?

16 Serbia Law on Personal Data Protection (2018) controls have no direct equivalent in NIST AI 600-1 Generative AI Profile. The highest concentration of gaps is in VII — Remedies, Liability and Penalties with 3 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 Serbia Law on Personal Data Protection (2018) and NIST AI 600-1 Generative AI Profile?

The domain with the highest gap count is VII — Remedies, Liability and Penalties (3 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.