The legitimacy layer for enterprise AI.
MAUDL captures AI system behavior at runtime and converts it into verifiable, audit-ready evidence for regulated enterprise environments.
Mechanism
MAUDL operates alongside production AI systems, observing inference calls, inputs, outputs, and contextual metadata without altering model behavior.
Captured events are transformed into append-only, cryptographically verifiable records suitable for internal review, external audit, and enterprise procurement scrutiny.
Runtime records are mapped to recognized control frameworks including ISO, SOC 2, NIST, and related regulatory structures, producing auditor-consumable artifacts.
Enterprise AI systems that cannot produce runtime evidence will not pass procurement, audit, or regulatory review.
MAUDL ensures they can.
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