AI RESEARCH
CSLE: A Reinforcement Learning Platform for Autonomous Security Management
arXiv CS.AI
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ArXi:2604.15590v1 Announce Type: cross Reinforcement learning is a promising approach to autonomous and adaptive security management in networked systems. However, current reinforcement learning solutions for security management are mostly limited to simulation environments and it is unclear how they generalize to operational systems. In this paper, we address this limitation by presenting CSLE: a reinforcement learning platform for autonomous security management that enables experimentation under realistic conditions. Conceptually, CSLE encompasses two systems.