arXiv Artificial Intelligence

Beyond Handcrafted Security: Towards Self-Evolving Defense for LLM Agents

3 hours ago 14.08.2026 07:00 👁 2 views
Beyond Handcrafted Security: Towards Self-Evolving Defense for LLM Agents

Quick summary

arXiv:2608.12977v1 Announce Type: cross Abstract: 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 mechan

Key takeaways

  • arXiv:2608.12977v1 Announce Type: cross Abstract: 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.

Why it matters

This development is a reminder to test misuse and data-leak scenarios alongside speed and quality. Trust should come from testable controls and clear failure reporting, not protection claims alone.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗