AI agents are moving into security operations faster than most organizations can answer a basic question: Can we trust our agents to work as expected when AI-fueled attacks hit?
A successful demo of agent performance isn’t proof. Neither is a static dataset, tabletop exercise, or vendor benchmark. Agents behave differently when they encounter real systems, identities, tools, users, and adversaries—and those conditions continuously change after deployment.
Watch Marcus Hutchins, Principal Threat Researcher at Expel and Lee Rossey, Co-Founder and CTO at SimSpace, as they explore how to prove performance before—and after—production.
What You’ll Learn
Prove AI agents before (and after) production
by continuously testing them under realistic attack conditions.
Move beyond scripted demos and static testing
to see how agents perform within real-world systems and workflows.
Expose hidden failure points
across agents, security tools, processes, and human-AI handoffs.
Generate evidence of AI readiness
to support more informed deployment decisions.
