Sandbox Controls

Sandbox controls are technical mechanisms that isolate AI systems or applications within restricted environments to test their behavior safely before deployment to production. These controls are essential for enterprise governance because they allow organizations to observe model outputs, detect harmful behaviors, and validate safety measures without exposing users or sensitive data to potential risks. In compliance frameworks, sandbox environments serve as critical checkpoints where teams can verify that AI systems meet regulatory requirements and organizational policies before wider release.

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