Account Takeover Fraud Detection Solution Implementation

This technical report outlines the implementation of TAZI's Account Takeover (ATO) Detection Solution at a leading Credit Union to enhance fraud detection accuracy and data quality. The Credit Union faced challenges with a previous AI model that had a low true positive rate of 50%, resulting in excessive time spent on false positives. The new solution aims to improve true positives by 56% and efficiency by 53% within a two-month timeframe. The report details the challenges faced by the Credit Union, including the lack of data scientist resources and the need for a scalable, transparent AI solution that complies with AI governance regulations. It describes how the solution integrates with existing systems and allows fraud analysts to actively monitor and update the AI model, thereby reducing the burden on the data science team. The involvement of the Fraud Data Analyst and Fraud Manager in the configuration and validation of the solution is also highlighted, ensuring a comprehensive understanding of its functionality and limitations.