This session explores how artificial intelligence (AI) and machine learning (ML) are transforming cybersecurity defense. We will cover the core concepts of AI/ML, focusing on their ability to analyze vast datasets, detect emerging threats, and respond autonomously in real-time.

Through real-world use cases, attendees will see how AI/ML are used in threat detection systems, automated incident response, and predictive threat modeling. We’ll highlight advancements in AI-driven technologies like autonomous security systems and next-gen threat intelligence.

Additionally, we will discuss key challenges, including algorithmic bias, the need for continuous model training, and the ethical considerations of AI in cybersecurity. By the end of the session, attendees will understand how AI/ML can enhance threat management and how to effectively integrate these technologies into their defense strategies