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Monitaur

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Monitaur Features

Unified Governance Platform Centralizes AI model governance for all model types in a single, coherent system.
Policy to Proof Framework Translates high-level governance policy into actionable, auditable controls across your AI lifecycle.
Templates Modular, customizable AI policy templates aligned to enterprise risk and regulatory needs.
Education Modules Training built in for model risk management, bias mitigation, and generative-AI governance.
Common Controls Library A library of standard, configurable governance controls for high-risk AI systems.
Vendor Governance Manage third-party AI vendor risk with control mapping and centralized vendor inventory.
Continuous Model Monitoring Monitor models in production for drift, bias, and performance issues.
Stress Testing Simulate extreme or adverse scenarios to validate model robustness and resilience.
Audit Trail Maintain a complete logged history of decisions for traceability and compliance.
Evidence Management Ingest existing documentation and map it to governance controls automatically.
Fairness and Bias Analysis Measure model fairness via metrics like disparate impact and equalized odds.
Enterprise Security Data protection, role-based access control, and enterprise-grade infrastructure.

Brand Name	Monitaur
Information	Monitaur is an AI governance software platform helping companies build, manage and automate responsible and ethical governance across consequential modeling systems.
Founded Year	2019
Director/Founders	Andrew Clark, Anthony Habayeb
Company Size	1-100 Employees