As organizations rapidly adopt AI technologies such as Microsoft 365 Copilot, AI agents, and digital workers, a new challenge is emerging: systems are often “working as designed,” yet still introducing significant risk.

In the AI-native workplace, traditional governance and risk management approaches struggle to keep pace with autonomous decision-making, evolving data usage, and increasing reliance on AI-driven workflows. Security teams identify risk, engineering teams confirm functionality, and governance teams are left without clear frameworks to bridge the gap.

This session explores how organizations can effectively govern AI in modern workplace environments without slowing innovation. Drawing on real-world governance and cyber risk experience, it examines how AI systems introduce new categories of risk, including data exposure, decision accountability, and operational dependency.

Attendees will learn how to design governance frameworks that align with AI-driven technologies such as Microsoft 365 Copilot and AI agents, improve collaboration between security, engineering, and business teams, and establish practical controls that enable safe and scalable AI adoption.