Proov

Automatically validates AI models against financial regulatory frameworks including Fair Lending, Model Risk Management, and other compliance standards. Performs systematic checks to ensure models meet regulatory requirements without manual review.

Identifies and quantifies bias and fairness issues in financial models, specifically detecting lending discrimination risks across protected characteristics. Provides detailed analysis of disparate impact and fairness metrics.

Automatically generates regulatory documentation and audit-ready reports for model governance boards and compliance teams. Creates standardized documentation that satisfies regulatory requirements without manual compilation.

Evaluates AI models against established Model Risk Management frameworks and best practices. Assesses model governance, validation, monitoring, and risk controls across the model lifecycle.

Validates the performance and accuracy of lending algorithms including credit risk models, pricing engines, and approval systems. Tests model performance across different segments and conditions.

Maps AI models and validation processes to specific regulatory requirements from OCC, CFPB, and other financial regulators. Identifies which regulatory requirements apply and how models address them.

Automates end-to-end model validation workflows including test execution, result collection, and report generation. Streamlines the validation process from model submission to compliance sign-off.

Monitors deployed financial models for performance degradation and data drift over time. Detects when model behavior changes or when input data distributions shift from training conditions.