Healthcare security teams face a decision no other industry deals with: containment actions that stop an attacker or disrupt patient care. Attackers know this and are exploiting that hesitation. With lateral movement in under 4 minutes and attacks timed for 2 AM weekends, the window between "detected" and "too late" is shrinking fast.

This session breaks down the decision framework leading healthcare security teams use to deploy risk-adjusted agentic AI in clinical environments, including the governance architecture that makes it safe and the results that follow.

You'll walk away with:

• The four governance components that make autonomous response safe for life-critical systems

• How to start with zero-ambiguity scenarios and expand from there

• Concrete proof points and language to build your internal case with clinical leadership