Mastering the Maze - Reinforcement Learning for Automated Penetration Testing

Explore how artificial intelligence, specifically reinforcement learning, can revolutionize penetration testing for lateral network movement in this 20-minute conference talk. Discover how AI can automate crucial aspects of the penetration testing cycle, traditionally requiring extensive knowledge, time, and human resources. Learn about approaches for integrating reinforcement learning algorithms to identify various attack vectors, create detailed attack path plans, and provide comprehensive system landscape overviews. Gain insights into automating lateral movement within system landscapes, enhancing the efficiency and effectiveness of the entire penetration testing process. Presented by Jakob and Richard Sprenger at Camp 2023, this talk offers a valuable overview of AI's potential to transform cybersecurity practices.