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Our framework is a direct, operational implementation of the definitive industry standard—the NIST AI Risk Management Framework (AI RMF). The AI RMF organizes the complex challenge of AI governance into four clear, actionable functions: GOVERN, MAP, MEASURE, and MANAGE. The MindLab platform is a direct, architectural implementation of this lifecycle.
The MindLab administrator, through the Policy Console, establishes the organization’s risk management culture.
The Capsule Manifest, our implementation of the “Model Card” framework, is the primary tool for this function, requiring creators to explicitly map their agent’s capabilities, data dependencies, and intended uses.
The MindLab Proving Ground serves as a continuous, automated TEVV (Test, Evaluation, Validation, and Verification) engine, evaluating every Capsule against the seven characteristics of trustworthy AI defined by the AI RMF.
The MindLab Workspace is the command center for this function, with the Decision Inbox providing the human-in-the-loop checkpoint for high-risk actions, and the Observability dashboard and immutable Audit Log providing the tools for continuous monitoring and incident response.
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