The adoption of AI editors like Cursor in enterprise environments requires a secure foundation to balance innovation with security risks. This involves implementing data governance, identity and authentication controls, ensuring code quality and security, and securing developer devices. Enterprises must consider how to classify sensitive IP, maintain audit trails, enforce editor settings consistently across environments, restrict access to specific codebases, and ensure secure deployment of AI tools. Running Cursor within a secure development environment like Gitpod can provide defense-in-depth strategies that contain the risk of adopting editors while getting the AI benefits. This approach enables organizations to harness AI's full potential while maintaining security and compliance.