Publication Peer Review

This paper addresses the security challenges unique to agentic AI systems. As AI transitions from passive tools to autonomous decision-makers, traditional security frameworks struggle to contextualize these new risks. We introduce a trait-based approach to agentic system security that identifies fundamental patterns in agent behavior and their associated vulnerabilities. By mapping security concerns directly to architectural choices, this paper enables system designers to integrate security considerations into the earliest stages of the design rather than treating them as afterthoughts.