AI Compliance Gap Analysis

Which compliance controls face the most AI security threats? Analysis of 1,293 CVE mappings across 3 frameworks to identify high-risk areas and coverage gaps.

Last updated: April 2, 2026

3
Frameworks
26
Total Controls
21
With CVE Mappings
5
Gaps (No CVEs)

ISO 42001

8 controls · 6 covered · 2 gaps

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Control CVEs Threat Level Risk
A.6.2.6 AI system risk treatment 245
High
A.6.2.4 AI system risk assessment 20
Medium
A.10.2 AI system lifecycle 16
Low
A.10.3 Data quality for AI systems 15
Low
A.7.3 Awareness — AI-specific threats 8
Low
A.10.4 AI system testing and validation 1
Low
A.5.4 AI system impact assessment process 0 No data Gap
B.4 Monitoring and measurement of AI risks 0 No data Gap

EU AI Act

8 controls · 5 covered · 3 gaps

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Control CVEs Threat Level Risk
Art.15 Accuracy, robustness and cybersecurity 139
High
Art.9 Risk management system 61
Medium
Art.17 Quality management system 5
Low
Art.10 Data and data governance 1
Low
Art.13 Transparency and information to deployers 1
Low
Art.14 Human oversight 0 No data Gap
Art.42 Presumption of conformity with certain requirements 0 No data Gap
Art.62 Reporting of serious incidents 0 No data Gap

OWASP LLM Top 10

10 controls · 10 covered · Full coverage

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Control CVEs Threat Level Risk
LLM05 Improper Output Handling 151
High
LLM04 Data and Model Poisoning 144
High
LLM07 System Prompt Leakage 108
High
LLM06 Excessive Agency 103
High
LLM03 Supply Chain Vulnerabilities 83
Medium
LLM08 Vector and Embedding Weaknesses 67
Medium
LLM02 Sensitive Information Disclosure 63
Medium
LLM01 Prompt Injection 27
Medium
LLM10 Unbounded Consumption 19
Low
LLM09 Misinformation 16
Low

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