Reinforcement Learning for Autonomous Resilient Cyber Defense
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Black Hat USA 2024 · Day 1 · Briefing
This talk, presented by Sarah and Ian from Dstl, delves into the critical and rapidly evolving field of **Autonomous Resilient Cyber Defense (ADR)**, particularly focusing on the application of **Reinforcement Learning (RL)**. The core problem addressed is the severe shortage of human cyber responders, especially at the tactical edge of operations, such as in autonomous vehicles or forward-deployed military assets. This scarcity, coupled with the increasing sophistication and machine-speed operation of adversary attacks, creates a significant vulnerability that traditional human-centric defenses cannot adequately address.