This track explores the rapidly evolving role of artificial intelligence in cybersecurity—both as a powerful defensive capability and as a weapon increasingly leveraged by attackers. Participants will gain a practical understanding of how AI is transforming ransomware operations, social engineering, malware development, detection engineering, and security operations at scale.

Topics include AI-assisted phishing and impersonation, deepfakes and synthetic identities, automated vulnerability discovery, adversary use of large language models, and the emerging risks of AI supply chains and model abuse. On the defensive side, the track covers AI-driven detection and response, behavioral analytics, security copilots, autonomous response considerations, and the limits and failure modes of AI in real-world incidents.

The track also addresses governance, risk, and compliance challenges related to AI adoption, including data leakage, prompt injection, model poisoning, regulatory expectations, and responsible use in security operations and development environments. Through hands-on sessions, case studies, and forward-looking discussions, participants will learn how to safely adopt, defend, and respond to AI-powered threats while leveraging AI to improve security outcomes.