This session shows how to systematically identify and manage security risks in modern AI applications, from LLMs to autonomous agents. You’ll learn how threats such as prompt injection, data leakage, and agent misuse emerge across the full AI lifecycle, and how to mitigate them in practice. Leave with concrete approaches to secure your AI stack – spanning data, models, tools, and workflows – and ensure safe, reliable deployment in real-world business environments.
