The rapid deployment of AI agent systems capable of autonomous action has outpaced the development of governance infrastructure necessary to ensure safe operation. This paper presents a systematic analysis of fourteen critical gaps in current AI agent security frameworks, documented through examination of published standards (OWASP Top 10 for Agentic Applications 2026), industry research, peer-reviewed security literature, and real-world incidents. We find that existing frameworks address authentication, authorization, and content filtering but fail to provide behavioral trust assessment, outcome-based learning, cross-layer propagation, or intent verification at the protocol boundary.
Aadam Quraishi Quraishi (Fri,) studied this question.