The Interplay of Cybersecurity and Machine Learning

This chapter explores the intersection of cybersecurity and machine learning, discussing the application of AI in defense strategies, the evolution of hacking, and the use of reinforcement learning to discover vulnerabilities. It delves into the paradigm shift towards automated discovery of system weaknesses and novel defense mechanisms, emphasizing the collaboration between data-driven expertise and intuition in cybersecurity analysis. The conversation also touches on denial of service attacks, AI training for defenders, and the comparison between reinforcement learning and supervised learning in cybersecurity testing.