{
  "id": 5240712,
  "title": "SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment",
  "url": "https://urgent.news/2026/09/02/safeevolve-harness-policy-co-evolution-from-agent-experience-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-02T16:19:54.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.02786v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "The performance of LLM-based agents is jointly shaped by the base model and the harness used when interacting with the environment. This exposes them to safety risks in both harmful final responses and multi-step execution trajectories. Existing safety alignment mechanisms often rely on either external harness updates or policy optimization, yet applying either paradigm in isolation fails to…",
  "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."
}