New AI tools like Claude Code, Copilot Cowork, and a growing ecosystem of LLM-powered copilots, along with an overload of AI-powered tools, promise to make us faster, smarter, and more productive overnight. And they often do. But behind the magic sits a question most of us don’t fully stop to ask: where does your data actually go?

In this session, we dive into what really happens when you start using modern AI tooling that connects to multiple large language models — often with limited transparency around data handling, storage, and access. From prompts and uploaded files to context pulled from your tools, we’ll explore what you might be sharing (knowingly or not), and who could potentially see it.

The question isn’t new, but are we now more willing to overlook the consequences because this technology is shiny, new, and incredibly powerful? Are we turning a blind eye to data privacy and governance, because if we don’t use them, we’ll fall behind?

Let's explore together in this interactive, thought-provoking conversation, if our fears are irrational or maybe not big enough. Do we need to worry about GDPR or data residency with AI, and when exactly (not)?
We might not get an answer to any of these questions, but you'll for sure go home with material to think about!