Introducing AI Governance: Standardized evals, policies, and controls

AI Governance on Confident AI introduces a standardized framework to enforce consistent evaluation, observability, and red teaming across all AI projects, ensuring that every AI use case adheres to a centralized set of policies and controls. This framework addresses the challenges faced by teams when scaling AI, as it eliminates fragmented standards and provides a clear, data-backed answer to whether an AI is ready to ship. By encoding policies that define measurable requirements, AI Governance automates the assessment process, continuously evaluating AI use cases and blocking deployments that do not meet the set criteria. This approach not only provides evidence of compliance but also shifts the focus from subjective evaluations to objective, evidence-based decision-making, enhancing the reliability and safety of AI applications across the organization.

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