As AI becomes embedded in business operations, organizations are feeding sensitive financial, customer, and operational data into systems they don’t fully control. That’s where “sovereign AI” comes in, a concept most teams misunderstand.
This talk breaks sovereign AI down into a practical framework built around three non-negotiable questions:
1. Where is your data processed during AI training and inference?
2. What data is logged and stored?
3. Who can access it, and under what authority?
We’ll explore why data residency alone creates a false sense of security, how logging and telemetry can quietly undermine compliance, and why access governance is often the weakest link. Attendees will leave with a clear, DevOps-friendly checklist for evaluating sovereignty claims, designing defensible AI infrastructure, and reducing the risk of regulatory gaps, unintended third-party access, and data leakage.