Your AI Agents are Already Running, but Who's Securing Them?

79% of orgs lack AI agent guardrails. Learn secure IAM patterns and EMA research to deploy agentic AI safely.

Jeff Hickman headshot
Jeff Hickman

Head of Customer Engineering

Picture of George Fletcher
George Fletcher

Former Elected Board Member

79% of organizations have already deployed AI agents without access policy guardrails, and 60% are managing autonomous AI through traditional IAM models built for static services and human identities. The question isn't whether to deploy agentic AI, it's how to do it safely in a way that saves the business time and money. This fireside chat focuses on practical security patterns enterprises can implement now to deploy agents with confidence, not bleeding-edge approaches that create more risk than value. What You'll Walk Away With: - The security gap: Key findings from EMA research showing where enterprises are exposed in security, compliance, scale, and resilience. - Authorization frameworks that actually work: Implementing proper access controls for autonomous operations and preventing privilege escalation. - Audit and compliance at scale: Creating defensible trails for agent actions that meet global regulatory requirements. - Infrastructure decisions: Self-managed vs. cloud architecture – when control and data sovereignty matter more than convenience. - Handling exponential growth: Practical patterns for managing agent identities at scale when your agent population explodes.