As artificial intelligence rapidly evolves, a powerful new category has emerged and it is called agentic AI. Unlike traditional generative models such as ChatGPT, agentic AI proactively takes action, autonomously planning, executing, and adapting to achieve specific goals. This evolution represents both extraordinary opportunities and significant cybersecurity threats.

This session explores how agentic AI differs fundamentally from large language models (LLMs), examines real-world examples, and discusses the dual-sided implications for cybersecurity, including new attack surfaces and enhanced defense strategies. Attendees will gain actionable insights into navigating these transformative technologies safely, understanding the importance of robust controls, continuous monitoring, and careful delegation of autonomous tasks.

In the session you will learn:
• What is agentic AI and how does it differ from Gen AI
• Some examples of existing agentic AI
• Concerns about agentic AI within our organizations