{
  "id": 6273,
  "url": "https://arxiv.org/abs/2604.05440v1",
  "title": "LanG -- A Governance-Aware Agentic AI Platform for Unified Security Operations",
  "summary": "Modern Security Operations Centers struggle with alert fatigue, fragmented tooling, and limited cross-source event correlation. Challenges that current Security Information Event Management and Extended Detection and Response systems only partially address through fragmented tools. This paper presents the LLM-assisted network Governance (LanG), an open-source, governance-aware agentic AI platform for unified security operations contributing: (i) a Unified Incident Context Record with a correlati",
  "authors": "Anes Abdennebi, Nadjia Kara, Laaziz Lahlou, Hakima Ould-Slimane",
  "category": "research",
  "topics": "regulation,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-07T05:22:25.000Z",
  "fetched_at": "2026-07-14T16:32:24.288Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6273",
  "original_url": "https://arxiv.org/abs/2604.05440v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}