Organizations are quickly adopting AI, from early experimentation to fully deployed chatbots and agent-based systems. However, in many cases, data governance hasn’t kept pace. It’s often missing, reactive, or catching up as AI initiatives evolve.

This recorded webinar explores the fundamentals of AI model training. We provide a practical approach to governing AI development using "guardrails" that foster innovation instead of acting as a barrier.

Discover actionable strategies you can apply immediately to:

- Gain better visibility and control over the data being used in model training.

- Introduce guardrails without disrupting development velocity

- Reduce the risk of data exposure, IP leakage, and downstream incidents

Ideal for:
This webinar is designed for compliance and privacy professionals, engineering leaders, and anyone supporting AI development who wants better visibility and control over the data being used in model training.