As artificial intelligence evolves from conversational assistants to autonomous agents, organizations are entering a new security frontier. Agentic AI systems can plan, reason, make decisions, and interact with tools and other systems with limited human oversight. While these capabilities unlock significant business value, they also introduce entirely new attack vectors that traditional cybersecurity frameworks were not designed to address.

This session explores the emerging threat landscape of agentic AI and the security implications of deploying autonomous agents in enterprise environments. Attendees will gain a practical understanding of how agentic systems operate, how agents communicate with tools and external services, and why the underlying protocols and trust models are critical to maintaining security.

Drawing on real-world examples, the presentation discusses the top threats facing agentic systems today, and will demonstrate prompt injection, memory poisoning, and tool poisoning—attacks that do not break into AI systems from the outside, but manipulate them from within, turning the agent's own reasoning process and capabilities against the organizations it serves.

The session concludes with practical security architecture for securing agentic AI, including defense-in-depth strategies, protocol-level controls, emerging security standards, and current commercial solutions. Attendees will leave with a clear understanding of where their organizations may be vulnerable, how adversaries are already exploiting these weaknesses, and what a credible security posture for agentic AI should look like as autonomous systems become increasingly integrated into business operations.