Beyond Handcrafted Security: Towards Self-Evolving Defense for LLM Agents
The expanding operational capabilities of large language model (LLM) agents introduce sophisticated security threats. Runtime defenses have emerged as an effective approach to mitigating these risks by integrating security mechanisms into the agent execution loop. However, existing runtime defenses rely heavily on manually designed interventions and lack a principled framework for their construction and maintenance. In this work, we first develop a harness-level formulation of runtime defense that systematically characterizes how harness mechanisms enable defense construction and provides a unified view of existing runtime defense interventions from a harness perspective. Building on this...
| Authors | Jiajun Ruan, Peiyang Li, Yukun Chen et al. |
|---|---|
| Primary category | cs.CR |
| Published | 13 August 2026 |
| Last updated at source | 13 August 2026 |
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