arxiv
PublishedJuly 31, 2026 at 4:00 AM
—neutral
(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations
Publisher summary· verbatim
arXiv:2607.26201v1 Announce Type: cross Abstract: Security operations centers rely on anomaly detection systems to flag suspicious events. Feature-level explanations for anomaly detectors offer limited value for operational investigations. To effectively handle alerts, analysts need to know contextu
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivAn AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response9harxivLearning Transferable Latent User Preferences for Human-Aligned Decision Making9harxivRepair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents9harxivIndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD9hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗