{
  "id": 3513,
  "url": "https://arxiv.org/abs/2605.29801v1",
  "title": "AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security",
  "summary": "Modern open-world agents such as OpenClaw exhibit powerful cross-environment execution capabilities yet introduce broad new safety risk sources. Meanwhile, advanced frontier AI models drastically lower attack barriers, rendering current agent alignment frameworks inadequate for real-world deployment. To tackle these emerging threats, we propose a lightweight and scalable agent safety alignment framework. Specifically, we update the agent safety taxonomy to accommodate emergent risks from Codex a",
  "authors": "Dongrui Liu, Yu Li, Zhonghao Yang, Peng Wang, Guanxu Chen, Yuejin Xie et al.",
  "category": "research",
  "topics": "safety-alignment,agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-28T11:48:37.000Z",
  "fetched_at": "2026-07-14T16:30:18.855Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3513",
  "original_url": "https://arxiv.org/abs/2605.29801v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}