ISACA OC Monthly Event - March 2026
AI and machine learning are transforming regulated industries, but they’re also introducing new security, privacy, and compliance risks that can’t be managed with traditional approaches alone. As A…
About this event
AI and machine learning are transforming regulated industries, but they’re also introducing new security, privacy, and compliance risks that can’t be managed with traditional approaches alone. As AI-enabled systems make their way into critical products and business processes, organizations must rethink how they identify, assess, and communicate risk. In this interactive session, we’ll explore how threat modeling can be leveraged as a practical risk management tool throughout the AI product development lifecycle. Attendees will learn how to apply the STRIDE threat modeling methodology to AI-enabled systems and, more importantly, how to translate technical findings into risk-based language that supports governance decisions, regulatory expectations, and executive oversight. Designed for both technical and non-technical audiences, this session helps bridge the gap between engineering teams and business, risk, audit, governance, and compliance stakeholders, enabling stronger alignment and more confident decision-making in regulated environments. What You’ll Learn: How AI and ML introduce unique risks in regulated industries Applying STRIDE threat modeling to AI-enabled systems Using threat modeling outcomes to drive risk-informed governance decisions Improving cross-functional collaboration between technology and risk teams 🎓 1 CPE credit will be awarded for attendance. This session is ideal for professionals in IT audit, risk management, governance, compliance, cybersecurity, and technology leadership looking to stay ahead of AI-driven risk.