Comparisons & Framework Mappings
Side-by-side comparisons of AI threat databases and cross-reference mappings between the TopAIThreats taxonomy and major AI governance and security frameworks.
8 pages · See also Governance Frameworks and Taxonomy
AI Governance Frameworks Compared: NIST AI RMF vs EU AI Act vs ISO 42001
Structured comparison of three major AI governance frameworks — NIST AI Risk Management Framework, EU AI Act, and ISO/IEC 42001 — covering scope, requirements, enforcement, and how they map to real-world AI threats.
Updated 2026-03-12
AI Threat Databases Compared
Structured comparison of AIID, MITRE ATLAS, MIT AI Risk Repository, TopAIThreats, and OWASP Top 10 for LLM Applications — coverage, classification, and when to use each.
Updated 2026-03-11
EU AI Act Risk Categories: Mapping to Real-World AI Threats
Cross-reference mapping between the EU AI Act risk classification system — Prohibited, High-Risk, Limited Risk, and GPAI — and the TopAIThreats taxonomy, connecting regulatory requirements to documented incidents, threat patterns, and causal factors.
Updated 2026-03-12
ISO/IEC 42001 Mapping: AI Management System Controls vs Real-World AI Threats
Cross-reference mapping between ISO/IEC 42001 AI Management System clauses, Annex A controls, and the TopAIThreats taxonomy — connecting certifiable management practices to documented incidents, threat patterns, and causal factors.
Updated 2026-03-12
MITRE ATLAS Mapping: AI Adversarial Techniques vs Real-World AI Threats
Cross-reference mapping between MITRE ATLAS adversarial threat tactics and the TopAIThreats taxonomy — connecting ML attack techniques to documented incidents, threat patterns, and causal factors across 8 risk domains.
Updated 2026-03-12
NIST AI RMF Mapping: Framework Functions vs Real-World AI Threats
Cross-reference mapping between the NIST AI Risk Management Framework's four core functions — Govern, Map, Measure, Manage — and the TopAIThreats taxonomy, connecting risk management practices to documented incidents, threat patterns, and causal factors.
Updated 2026-03-12
OWASP Top 10 for LLM Applications: Mapping to Real-World AI Threats
Cross-reference mapping between OWASP Top 10 for Large Language Model Applications and the TopAIThreats taxonomy — connecting each OWASP vulnerability to documented incidents, threat patterns, and causal factors.
Updated 2026-03-12
TopAIThreats vs AIID vs MITRE ATLAS vs MIT AI Risk Repository: AI Threat Databases Compared
Detailed feature comparison of four major AI threat and incident databases — TopAIThreats, AI Incident Database (AIID), MITRE ATLAS, and MIT AI Risk Repository — covering scope, methodology, data structure, and use cases.
Updated 2026-03-12