AI has already changed how intrusions play out. What’s different now is speed. Incident responders are seeing attacks where reconnaissance, exploitation, and movement across environments can compress into minutes. At the same time, companies are deploying AI and agentic systems without fully understanding the risk they introduce.

This panel brings together CISOs, a Mandiant incident response professional, and a cyber and AI lawyer in private practice to focus on what this looks like in real incidents. The discussion draws from active breaches, regulatory pressure, and the tradeoffs teams are making now.

Systems can identify vulnerabilities, generate exploits, and chain attack paths with limited human input. The gap between discovery and exploitation is shrinking. Agentic AI adds another layer, with systems acting across enterprise environments.
Panelists will walk through how this is showing up in incident response, including faster access handoffs, identity-driven compromise, and automated workflows. The session will also cover governance, including how to set guardrails, manage accountability, and align response decisions with legal obligations.

Panelists will cover how to brief boards and senior leadership on AI-driven risk under compressed timelines, including how to communicate evolving facts and automation-related uncertainty, and how to coordinate with industry peers and law enforcement as AI-enabled attacks scale and outpace traditional response models. Attendees will leave with practical steps to reassess response readiness, tighten AI governance, and adapt to a faster threat environment.