AI RESEARCH

Towards Security-Auditable LLM Agents: A Unified Graph Representation

arXiv CS.AI

ArXi:2605.06812v1 Announce Type: new LLM-based agentic systems are rapidly evolving to perform complex autonomous tasks through dynamic tool invocation, stateful memory management, and multi-agent collaboration. However, this semantics-driven execution paradigm creates a severe semantic gap between low-level physical events and high-level execution intent, making post-hoc security auditing fundamentally difficult.