Building a control framework for the AI SDLC

AI coding tools are in use across regulated industries, producing workable code faster than humans can review. It’s a shift that’s raising difficult questions that haven’t been fully answered yet.

What does governance look like when AI agents are writing the code, reviewing each other’s work, and fixing their own findings? How do you prove what code is running and whether it passed your checks? Who’s accountable for change approvals, audits, incidents?

Alex Kantor has spent years as a Director of Technology in financial services. He’s building an experimental agentic software delivery pipeline to explore how we can govern the new, lightning fast AI SDLC.

In this online event Alex will share the control architecture he’s built for agentic SDLC, and a framework you can apply regardless of your stack.