Automated Model Validation

Automated model validation refers to the use of software tools to systematically test and confirm the performance, compliance, and reliability of AI models without relying solely on manual processes. In the context of AI governance, it ensures that models meet regulatory and risk management standards—such as those from the Federal Reserve’s SR 11-7 or the European Commission—by automating documentation, risk testing, and compliance monitoring. This automation reduces cost, improves auditability, and accelerates model deployment while supporting fairness, transparency, and accountability throughout the model life cycle.