GitHub Copilot Enterprise vs Third-Party AI Coding Agents
Governance controls, not code quality, determine whether AI coding agents reach production.
Governance controls, not code quality, determine whether AI coding agents reach production.
Organizations must control agent access by binding verified identity to specific tool permissions.
Each tool call needs its own lawful basis check, not one blanket permission for the entire agent.
A governed access layer lets teams move fast while security teams maintain visibility and control.
MCP servers can turn malicious after approval, exploiting how trust binds to names, not behavior.
Long-lived MCP agents hold secrets far longer than stateless APIs were designed to manage.
Not every privacy assessment that looks thorough will satisfy legal requirements.
AI agents need credential rules built for continuous operation, not human login sessions.
SSO is the goal; SAML is just one way to reach it.
Agents need authorization rules SSO and OAuth weren't designed to handle.
Security isn't the deciding factor; platform fit and operational cost are.
Governance policies and audit tools make MCP agent deployments GDPR-compliant and accountable.