Windsurf, an AI code editor built on top of Visual Studio Code, offers a powerful tool for developers but requires secure development environments to ensure the balance between innovation and security. Adopting Windsurf without implementing guardrails can lead to significant business risks, including intellectual property leakage, compliance violations, and data breaches. To mitigate these risks, enterprises must establish a secure foundation by implementing data governance, identity and authentication measures, achieving secure code quality, and ensuring secure developer devices. This requires comprehensive infrastructure changes, including enforcing repository-level editor access controls, monitoring AI agent actions with audit trails, standardizing agent setup, and implementing zero-trust network security for agents. By doing so, organizations can confidently scale their AI adoption while maintaining security and compliance.