Pre-Production Controls

Pre-production controls are governance mechanisms implemented before AI systems are deployed to production environments, encompassing model validation, testing, documentation review, and compliance verification. These controls serve as critical checkpoints to identify risks, biases, security vulnerabilities, and regulatory gaps before they can impact real users or business operations. In enterprise AI governance, pre-production controls reduce the cost and reputational damage of fixing problems after deployment while ensuring systems meet organizational standards and regulatory requirements.

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