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May 31, 2026Journal of Cyber Security0 citationsOpen Access

GenAI-Powered Autonomous Cyber Offense-Defense: An Explainable LLM Red-vs-Blue Simulation and Self-Defense Framework

HDHaitian Du

Key Points

  • The central aim is to develop a GenAI-powered framework for autonomous cyber defense and offense using large language models.
  • Developed a closed-loop framework for cyber defense and offense using large language models.
  • Implemented offensive and defensive strategies autonomously under various simulated attack scenarios.
  • Evaluated framework's performance against traditional static defenses in dynamic cyber environments.
  • The GenAI framework successfully adapted to 95% of simulated cyberattacks, outperforming static defenses.
  • Achieved a 30% reduction in response time to threats compared to conventional methods (p<0.01).
  • Demonstrated improved decision-making capabilities with an accuracy rate of 85% in simulated engagements.

Abstract

Modern cyberattacks evolve rapidly, overwhelming static and rule-based defenses. This paper proposes GenAI-Powered Autonomous Cyber Offense-Defense, a closed-loop framework in which large language models (LLMs) control both a... | Find, read and cite all the research you need on Tech Science Press

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Cite This Study

Haitian Du (2026) studied this question.

synapsesocial.com/papers/6a1bd0845783ba022b6fc42fhttps://doi.org/10.32604/jcs.2026.075976
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