AI RESEARCH
Agent Audit: A Security Analysis System for LLM Agent Applications
arXiv CS.AI
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ArXi:2603.22853v1 Announce Type: cross What should a developer inspect before deploying an LLM agent: the model, the tool code, the deployment configuration, or all three? In practice, many security failures in agent systems arise not from model weights alone, but from the surrounding software stack: tool functions that pass untrusted inputs to dangerous operations, exposed credentials in deployment artifacts, and over-privileged Model Context Protocol (MCP) configurations. We present Agent Audit, a security analysis system for LLM agent applications.