AI code generation promises dramatic productivity gains but also introduces new classes of risk that most teams are unprepared for. In this hands-on lab, security leaders will learn practical controls and pipeline architectures that inject security context before code hits the repository. Attendees will leave with technical blueprints for governing AI workflows without stifling developer velocity.
Additional Information: This session will follow Chatham House Rule to allow for free exchange of information and learning. We look forward to participants actively engaging in the discussion and remind attendees that no comment attribution or recording of any sort should take place. Media Pass holders, College Day Pass holders, and Security Scholars are not permitted to attend. This is a capacity-controlled session. You may reserve a seat in only one Learning Lab. If added to your schedule and your availability changes, please remove this session from your schedule to allow others to participate.
