As AI evolves from predicting outcomes to generating content and increasingly taking autonomous action, the consequences of failure are becoming significantly greater. Traditional governance models built around approvals and compliance may not be enough when AI systems can access sensitive data, make decisions, and act before a human ever enters the loop. Drawing from her book De-Risking AI Adoption: The AI Trust Layer, this session explores how CISOs can help their organizations build a more comprehensive approach to trusted AI adoption. Attendees will examine how security, risk, legal, privacy, data, and business leaders can establish shared accountability, evaluate controls, and better understand the potential consequences of AI systems. The discussion will focus on enabling organizations to move quickly with AI without allowing its risks to outpace their ability to govern it.