{
  "id": 527034,
  "title": "SHE: Trajectory-driven Safety Harness Evolution for LLM Agents",
  "url": "https://urgent.news/2026/08/10/she-trajectory-driven-safety-harness-evolution-for-llm-agents",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-10T17:35:08.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.09885v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "The safety of large language model (LLM) agents depends not only on model weights but also on the agent harness that manages context, memory, tools, permissions, and runtime control. Existing safety mechanisms often treat the harness as a fixed deployment artifact, limiting their ability to evolve with emerging risks. Moreover, coupled functions across harness components obscure safety…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}