A comparison of AI security frameworks highlights that while NIST AI RMF is a common choice for organizational governance, it lacks specific runtime controls for AI agents. MITRE ATLAS focuses on adversary tactics against AI systems, and OWASP provides vulnerability taxonomies for different AI stack layers. The article suggests that using any single framework leaves predictable security gaps, and a comprehensive approach is needed to address agentic AI risks at runtime. AI
IMPACT Highlights critical gaps in current AI security governance frameworks, emphasizing the need for runtime controls for agentic AI.
RANK_REASON Article compares existing AI security frameworks, offering analysis rather than announcing new developments. [lever_c_demoted from research: ic=1 ai=1.0]
- AI RMF 1.0
- Cameron J.R. McClelland
- GenAI Profile
- MITRE ATLAS
- NIST AI 600-1
- NIST AI RMF
- OWASP
- OWASP Agentic Top 10
- Speakeasy
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