Secure development workspaces

Modern engineering organizations face a paradox: AI coding assistants promise dramatic productivity gains, yet deploying them at scale introduces unacceptable security and compliance risk. Local agent execution scatters sensitive credentials across developer machines. Ad-hoc sandboxes produce inconsistent results. Shadow AI bypasses the governance frameworks your security team spent years building.

This session introduces the Cloud Development Environment (CDE) model, a self-hosted, infrastructure-as-code approach that places both human developers and AI coding agents inside governed, auditable workspaces on infrastructure you control. You'll see how environment templating, network-level agent boundaries, centralized model access gateways, and full activity logging come together to make AI-assisted development safe, reproducible, and scalable, without slowing your teams down.