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.

Head of Customer Engineering

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.