arXiv:2610.03014v1 Announce Type: new Abstract: Large language model (LLM)-based agents increasingly connect model-generated decisions to security-sensitive software capabilities such as command execution, filesystem access, network communication, browser control, and external tools. Existing analyses often use predefined sensitive operations as anchors, but operation identity alone is insufficient to determine security implications.
Beyond Predefined Sinks: Security-Aware Dependency Analysis for LLM Agents
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