Data labeling: Labeled data for model training and improvement

Download this datasheet to learn how high-quality fraud feedback powers more accurate, adaptive, and efficient fraud detection. You’ll discover how BioCatch uses labeled data to continuously improve model performance, reduce false positives, and strengthen real-time decision-making. The paper walks through each feedback method - from Analyst Station and email submissions to SFTP, the Fraud File Uploader, and the Truth Marking API - highlighting best practices that help fraud teams streamline operations and unlock the full value of BioCatch’s behavioral intelligence.