In this episode, I take a deep dive into how AI is transforming cybersecurity, from machine learning-driven anomaly detection to real-time automated threat hunting. I break down the ways AI enhances threat detection, reduces response times, and scales defenses for large environments, while also exploring the challenges security teams face—such as adversarial AI attacks and managing false positives. You’ll hear about the key machine learning models used in cyber defense, including supervised, unsupervised, and deep learning applications, and how they work together to identify known and unknown threats.
Beyond detection, I discuss how AI is reshaping incident response, security automation, and predictive analytics to stay ahead of attackers. Whether it's SOAR platforms orchestrating security workflows or AI-driven behavioral analytics pinpointing insider threats, this episode covers the cutting-edge tools making a difference. I also highlight the growing need for balancing automation with human oversight and the future trends that will define AI in cyber defense. If you’re looking for a clear and engaging breakdown of how AI is both a weapon and a shield in modern cybersecurity, this episode is for you.
