2 citations · 3 across the 4 of their papers we have counts for
5 papers
(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations
Neta Kirmayer, David Tayouri, Andrés Murillo +3
Security operations centers rely on anomaly detection systems to flag suspicious events. Feature-level explanations for anomaly detectors offer limited value for operational invest…
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…
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…
MIRAGE: Multi-Binary Image Risk Assessment with Attack Graph Employment
David Tayouri, Telem Nachum, Asaf Shabtai
Attackers can exploit known vulnerabilities to infiltrate a device's firmware and the communication between firmware binaries, in order to pass between them. To improve cybersecuri…
A Survey of MulVAL Extensions and Their Attack Scenarios Coverage
David Tayouri, Nick Baum, Asaf Shabtai +1
Organizations employ various adversary models in order to assess the risk and potential impact of attacks on their networks. Attack graphs represent vulnerabilities and actions an…