anomaly detection 1event-centric analysis 1explainable AI 1multi-agent systems 1security operations 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CR2026
(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations
Neta Kirmayer, David Tayouri, Andrés Murillo +3
The paper presents (EC)2, a multi‑agent framework that uses large language models to generate event‑centric, hypothesis‑driven explanations for cybersecurity alerts, improving anal…
cs.CR2025
SCyTAG: Scalable Cyber-Twin for Threat-Assessment Based on Attack Graphs
David Tayouri, Elad Duani, Abed Showgan +8
Understanding the risks associated with an enterprise environment is the first step toward improving its security. Organizations employ various methods to assess and prioritize the…
cs.CR2025
ATAG: AI-Agent Application Threat Assessment with Attack Graphs
Parth Atulbhai Gandhi, Akansha Shukla, David Tayouri +4
Evaluating the security of multi-agent systems (MASs) powered by large language models (LLMs) is challenging, primarily because of the systems' complex internal dynamics and the ev…