AAISM: Advanced in AI Security Management

Documentation of model training and testing supports transparency, explainability, validation, and accountable governance. Without it, a financial organization cannot adequately understand or substantiate the model’s behavior, limitations, and testing, creating a material risk of insufficient explainability and regulatory noncompliance. NIST AI RMF guidance specifically identifies third-party transparency, training-data knowledge, testing, documentation, and explainability as governance considerations.