AI RESEARCH
From Stateless Queries to Autonomous Actions: A Layered Security Framework for Agentic AI Systems
arXiv CS.LG
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ArXi:2604.23338v1 Announce Type: cross Agentic AI systems face security challenges that stateless large language models do not. They plan across extended horizons, maintain persistent memory, invoke external tools, and coordinate with peer agents. Existing security analyses organize threats by attack type (prompt injection, jailbreaking), but provide no principled model of which architectural component is vulnerable or over what timescale the threat manifests. This paper makes five contributions. First, we.