评分 6 · 来源：cs.AI updates on arXiv.org · 发布于 2026-04-17
评分依据：Lifecycle security architecture for agent deployment, practical framework covering development to runtime
arXiv:2604.13630v1 Announce Type: cross Abstract: The performance of large language model (LLM) agents depends critically on the execution harness, the system layer that orchestrates tool use, context management, and state persistence. Yet this same architectural centrality makes the harness a high-value attack surface: a single compromise at the harness level can cascade through the entire execution pipeline.