Your staff are already using AI. You may not know which tools, which patient data, or which risks. By 2027, analysts forecast that more than 40% of AI-related data breaches will come from inside the organization — not from external attacks. In healthcare, where protected health information is among the most sensitive data in existence, that risk isn't abstract. This session equips clinical and operational leaders with the foundational conversations they need to have before deploying AI agents or automation across care settings, often with tools they already own. You'll walk away with: A clear framework for AI risk: Govern, Protect, Enable Five technical controls most organizations already pay for and haven't turned on Eight diagnostic questions to identify your blind spots before they identify you