The AI Governance Illusion: Closing the Evidence Gap From Code to Runtime

As generative AI, LLMs and autonomous agents move into production, the enterprise attack surface is changing fast. The challenge now goes beyond AI policies and vendor assessments: organisations need to build continuous trust across the whole AI lifecycle. This SASIG webinar looks at what "code to runtime" means in practice and how to secure AI systems from development through to live operation.

It covers how to generate continuous evidence that models and workloads behave as intended, the risks introduced by agentic workflows, and moving from fragmented controls towards verifiable AI governance. Topics include the reality of AI governance, code to runtime security, the evolution of AI threats and the human layer.

It's free and open to everyone, and the organiser says it counts for 1 CPD point if you attend live.