This session breaks down the real-world security risks of AI systems across the full lifecycle—from prompt engineering and APIs to model deployment and data pipelines. Designed for system administrators, developers, and project managers, it provides a practical understanding of:

How AI systems introduce new attack surfaces (prompt injection, data leakage, model abuse)
Risks in integrating AI with enterprise platforms (e.g., APIs, databases, cloud services)
Security responsibilities across roles (Dev, Ops, Governance)
How to apply Zero Trust principles to AI workloads
Practical controls using tools like identity, logging, and data protection