The next wave of cyberattacks won’t be launched by humans alone, and neither will the defense. As Distributed Denial-of-Service (DDoS) attacks grow in scale and frequency, machine learning and large language models (LLMs) are stepping into the front lines. But how effective are they? What trade-offs exist between accuracy, speed, and risk? And how close are we to autonomous defense systems? In this episode, Steve Prentice speaks with Johnathan Azaria, machine learning platform lead at Thales, who offers a rare behind-the-scenes look at how AI is being used today, and what’s coming next.