How to secure AI agents, govern non-human identities, and maintain control at runtime

Agentic AI is moving from experimentation to execution and autonomous agents are gaining access to systems, APIs, data, and critical workflows. This creates new challenges around identity, access, governance, and runtime security.

Join us for a technical deep dive into how organizations can secure agentic workloads while maintaining visibility, accountability, and control.

• How to secure non-human identities as AI agents operate autonomously
• Managing identity, access, and delegation at runtime
• Risks of over-privileged AI agents and machine identities
• Maintaining visibility and accountability across agent activity
• Practical approaches to securing the agentic runtime