{
  "id": 5049,
  "url": "https://arxiv.org/abs/2605.01892v1",
  "title": "CyberAId: AI-Driven Cybersecurity for Financial Service Providers",
  "summary": "European financial institutions face mounting regulatory pressure while their security operations centres remain constrained not by data or staffing but by reasoning capacity: enterprise SIEMs cover only a fraction of MITRE ATT&CK techniques, two thirds of SOC teams cannot keep pace with alert volumes, and the majority of breaches are preceded by alerts that are generated but never investigated. Frontier large language models now achieve state-of-the-art results on isolated cybersecurity tasks (",
  "authors": "George Fatouros, Georgios Makridis, John Soldatos, Dimosthenis Kyriazis, Pedro Malo, George Kousiouris et al.",
  "category": "research",
  "topics": "regulation,finance-investment",
  "orgs": null,
  "regions": "eu",
  "published_at": "2026-05-03T14:15:11.000Z",
  "fetched_at": "2026-07-14T16:31:26.338Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5049",
  "original_url": "https://arxiv.org/abs/2605.01892v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}