This session explores how to build trust into AI systems through thoughtful design, strong governance, and robust security. It covers managing bias and accountability in high-risk AI, safeguarding models and data, ensuring data integrity, and addressing model drift. Attendees will also learn the importance of aligning technical design with regulatory expectations and integrate AI risk management into broader cybersecurity strategies.