Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Yuval Elovici

Yuval Elovici

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2Crypto×2Networking×1Multiagent×1

Frequent co-authors

Asaf Shabtai2×
Chen Frydman1×
Aviram Zilberman1×
Rubin Krief1×
Abed Showgan1×
Andres Murillo1×

Research Timeline

2026
SecMate: Multi-Agent Adaptive Cybersecurity Troubleshooting with Tri-Context Personalization

SecMate is a multi-agent virtual customer assistant for cybersecurity troubleshooting that significantly improves resolution rates (from 50% to over 90%) by integrating device, user, and service-specific context.

COHORT: Collaborative Orchestration for Hardening via Offensive Replay on Emulated Topologies

The paper introduces COHORT, an end-to-end framework for automating adversary mitigation in enterprise networks using a multi-agent LLM workflow and offensive replay.

Highlighted terms show continued research focus across papers

Papers

cs.NIcs.AIcs.CREmpiricalRecentJun 29, 2026

COHORT: Collaborative Orchestration for Hardening via Offensive Replay on Emulated Topologies

Chen Frydman, Aviram Zilberman, Rubin Krief, Abed Showgan +5 more

The paper introduces COHORT, an end-to-end framework for automating adversary mitigation in enterprise networks using a multi-agent LLM workflow and offensive replay.

View →
cs.CRcs.AIRecent
Apr 29, 2026

SecMate: Multi-Agent Adaptive Cybersecurity Troubleshooting with Tri-Context Personalization

Yair Meidan, Omri Haller, Yulia Moshan, Shahaf David +3 more

SecMate is a multi-agent virtual customer assistant for cybersecurity troubleshooting that significantly improves resolution rates (from 50% to over 90%) by integrating device, user, and service-speci…

View →