Asaf Shabtai
4 indexed papers
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This paper introduces FreakOut-LLM, demonstrating that emotional context, specifically stress, significantly compromises the safety alignment of large language models, increasing jailbreak susceptibility.
The paper proposes ConGISATA, a continuous, gamified framework using embedded mobile sensors to enhance individual information security awareness by transforming passive risks into active learning opportunities.
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.
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.
Papers
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.