The adoption of GitHub Copilot, an exceptionally powerful assistant for Visual Studio Code, requires a secure development environment to maintain the balance between empowering teams to innovate and ensuring security. Enterprises face pressure to adopt AI tools while maintaining security standards, which can result in significant business risks such as intellectual property leakage, compliance violations, and data breaches. To address this challenge, enterprises must lay a secure foundation by implementing guardrails for sensitive projects, achieving secure code quality, and securing developer devices. This involves understanding the security implications of using GitHub Copilot's AI features, ensuring proper identity and authentication, monitoring agent actions, and enforcing repository-level editor access controls. By adopting secure development environments like Gitpod, enterprises can implement defense-in-depth strategies that contain the risk of adopting assistants like GitHub Copilot while getting the AI benefits. This approach enables organizations to confidently scale their AI adoption from experimental pilots to enterprise-wide implementation, maintaining security and compliance while unlocking the transformative power of AI coding agents.