New Sandboxing Method Proposed to Secure AI-Generated Google Apps Script Execution

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Executing AI-generated code in Google Workspace via the Apps Script API's scripts.run method poses serious security risks, including data theft, phishing, and unauthorized access to corporate resources. A new sandboxing approach has been proposed that uses an open-source tool called ggsrun as an orchestration engine to intercept and contain potentially harmful script payloads before they run on Google's servers. The method works by performing in-memory token replacement and uploading a prioritized guard file to enforce API-level containment. Once execution completes, ggsrun automatically restores the remote environment to its original state through a built-in backup and rollback process. The proposal builds on earlier sandboxing research and aims to provide a lightweight, dependency-free security model for teams using AI agents to automate Google Workspace workflows.

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