AI is rapidly evolving from a tool that responds to prompts into an autonomous actor that can access data, connect to tools and APIs, make decisions and act. As enterprises embrace agentic AI, security leaders must rethink how they manage identity, permissions, visibility and risk across an increasingly complex AI ecosystem.

In this TechTalks™ session, Jamison Utter, Field CISO at A10 Networks, explores what changes when AI becomes an active participant in enterprise workflows. Discover why securing agentic AI requires looking beyond prompts and traditional guardrails to the entire chain of interactions, from the agent and its logic layer to models, MCP servers, tools, APIs and the infrastructure underneath it

Watch this session to learn:

• Why agentic AI shifts security from protecting deterministic code to managing probabilistic logic and autonomous behavior
• How to control identity, permissions, tools and MCP access while limiting the potential blast radius
• Why visibility and explainability are critical to understanding how and why agents act
• How AI gateways and policy controls can help govern access to models, agents, tools and enterprise resources
• Where CISOs must start to see, explain and control AI activity across the enterprise

Watch now to explore a practical approach to securing AI as it moves from experimentation to autonomous action across the enterprise.