Real-Time Anomaly Detection for Payment Systems #991
Description
Problem: Payment fraud and system errors are often detected too late, leading to financial loss and customer dissatisfaction.
Proposed Solution: Integrate a streaming anomaly detection engine using unsupervised ML to monitor payment transactions in real time and trigger alerts for suspicious activity.