AI is changing the way we write software, but it's also reshaping how we need to secure it. Code is no longer just written - it's generated, accepted, and shipped at speed. As developers embrace AI-assisted coding, the risk surface expands and becomes harder to control.

In this session, we'll explore what really changes when AI becomes part of the development lifecycle, where things can go wrong, and how to stay in control. We'll cover the risks that emerge in AI-driven workflows and, more importantly, how to address them through concrete solutions, examples and practical best practices.