As organizations rapidly embed AI into core business processes, the attack surface is expanding beyond traditional applications to include data pipelines, models, APIs, and third-party AI services. In this new reality, identity and data security are no longer separate disciplines, they are foundational controls for securing the AI supply chain.​

This session explores how modern IAM and data security strategies must evolve to address AI-driven risks: from controlling human/non-human identities, to enforcing least-privilege access to sensitive training data, prompts, and model outputs. Attendees will learn how to prevent unauthorised access, data leakage, model misuse, and compliance violations while enabling innovation at scale.