Topic

Sandboxing

Sandboxing is a security technique that isolates AI systems or applications in a restricted environment to contain their potential risks and prevent unauthorized access to sensitive data or systems. In AI governance, sandboxing allows organizations to test models, conduct safety evaluations, and monitor behavior before deploying to production environments. This practice is critical for compliance and risk management, as it enables companies to verify that AI systems behave as intended and don't cause unintended harm before they interact with real-world data or users.

1 item

ResearchISO/OECD/UN2026-06-01

UNU Macau Urges Sandboxing, Least Privilege, and Rollback as Baseline Controls for Agentic AI Before Deployment

A United Nations University Macau essay argues that agentic AI systems can amplify small reasoning errors into globally unsafe action chains when given access to memory, code execution, external tools, or system-level permissions. The essay recommends a set of technical governance controls including minimum necessary privilege, sandboxing, explicit permissions, approval gates, and rollback as prerequisites for safe deployment. The publication adds multilateral institutional weight to a set of controls that most enterprise governance programs have not yet formalized.

agentic AI least privilege sandboxing rollback multilateral governance