{
  "id": 4619,
  "url": "https://arxiv.org/abs/2605.09534v1",
  "title": "Governing AI-Assisted Security Operations: A Design Science Framework for Operational Decision Support",
  "summary": "Engineering managers increasingly must decide how to introduce generative artificial intelligence (AI), retrieval-augmented generation, and coding agents into high-risk operational functions without weakening accountability, privacy, cost discipline, or auditability. The central message of this study is that AI-assisted operational decision support should be managed as a governed engineering capability before it is scaled as automation. Security operations centers (SOCs) provide a suitable setti",
  "authors": "Elyson A. De La Cruz, Rishikesh Sahay, Md Rasel Al Mamun",
  "category": "research",
  "topics": "privacy-surveillance,jobs-economy,agents-autonomy,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-10T13:35:17.000Z",
  "fetched_at": "2026-07-14T16:31:08.356Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4619",
  "original_url": "https://arxiv.org/abs/2605.09534v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}