Date & time

17:00

Platform teams increasingly own the interfaces every engineer touches: CI/CD, developer portals, golden paths, deployment pipelines, and internal tooling. Once AI started writing production code, platform teams became responsible for the infrastructure that enforces AI governance policies. 

Eighty percent of organizations adopted AI coding tools before they built policies to govern them, which meant that governance structures didn’t meet platform users’ needs. If a guardrail isn’t accurate enough to rely on, developers will find a way around it. The organizations moving fastest without losing control are the ones where review is built into the platform itself, not a step someone has to remember to take. 

This panel brings together platform engineering leaders to explain how governance controls are becoming an integral part of the platform, which approaches are creating friction, and what teams have learned from the trial-and-error of scaling systems.

Key takeaways:

• How to build golden path CI/CD templates that ship AI verification, SBOM generation, and security scans by default
• Where to put permission boundaries to ensure that agent error is caught long before customers would see it
• How to automate compliance evidence collection, instead of asking developers to document AI usage after the fact