The software development lifecycle is being fundamentally transformed by AI, from AI-assisted coding to autonomous agents deploying infrastructure. This new paradigm introduces complex identity questions: How do we trust the code from a human-AI pair? How do we manage the identities of an autonomous agent workforce? Who is accountable when an AI goes rogue?

This panel brings together leaders from the trenches of cloud infrastructure and enterprise security to debate and discuss how to secure this new world from end to end. Featuring insights from Snowflake and Monolithic Power Systems, we will explore the practical challenges and solutions for establishing identity, observability, and control in an AI-powered SDLC.

The discussion will cover the spectrum of the problem, from verifying the developer at the point of commit to managing the access rights of autonomous agents interacting with private data. Attendees will gain a multi-faceted perspective on the strategies and technologies needed to ensure that innovation in AI development does not come at the cost of security and trust.