{
  "id": 516,
  "url": "https://arxiv.org/abs/2606.28270v1",
  "title": "Agent-Native Immune System: Architecture, Taxonomy, and Engineering",
  "summary": "The transition from static chat bots to autonomous agents--equipped with persistent memory, tool-use protocols, and multi-agent collaboration--has fundamentally expanded the AI threat landscape. Current defense mechanisms, such as perimeter security and training-time alignment, remain external to the agent's active reasoning loop. Consequently, they fall short: a fully aligned agent remains highly vulnerable to runtime hijacking via memory poisoning, tool-chain manipulation, or multi-agent proto",
  "authors": "Bo Shen, Lifeng Chang, Tianyuan Wei, Yunpeng Li, Feng Shi, Yichen Han et al.",
  "category": "research",
  "topics": "safety-alignment,military-security,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-26T17:08:06.000Z",
  "fetched_at": "2026-07-14T14:14:37.245Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/516",
  "original_url": "https://arxiv.org/abs/2606.28270v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}