White Paper
Operationalizing AI Coding Agents in Regulated Industries
This white paper presents a practical framework for deploying AI coding agents in financial services, government, and other regulated environments. It explains why IDE-level or vendor controls are insufficient once agents begin executing multi-step workflows, filing pull requests, and acting with limited human involvement. Governance must move into centrally managed, self-hosted workspaces where identity, permissions, network access, tools, and resource limits can be enforced consistently. The report defines four levels of agent autonomy and shows how infrastructure requirements increase as humans move from direct control to orchestration. Recommended controls include privilege separation, ephemeral credentials, policy-controlled execution, centralized model access, audit trails, approval
