AI Governance for developers: A practical framework for deploying autonomous coding agents safely in the enterprise

Autonomous coding agents can ship features, refactor systems, and modify infrastructure at machine speed. They can also delete production data just as fast. The difference isn’t model quality - it’s governance.
As enterprises move from AI assistants to fully agentic workflows, platform teams face a new challenge: how do you give agents real power without giving them the keys to everything?
This session introduces a practical governance model for autonomous coding agents - covering failure modes like prompt injection and privilege escalation, and the architectural patterns that let you scale agent productivity without scaling risk.