This article explains how Giskard open-source ML framework can be used for testing ML models and applied to fraud detection. It explores the components of Giskard: the Python library, its user-friendly interface, its installation process, and practical implementation for banknote authentication. The article provides step-by-step guide, code snippets, and leverages the banknote authentication dataset to develop an accurate ML model.