1.1 Purpose of the Document
This user manual provides step-by-step instructions for managing and configuring anomaly detection models for the following use cases:
- Login Data
- Payment Data
The system is designed to detect anomalies in login activities and payment transactions, ensuring security and fraud prevention. By leveraging machine learning techniques, it helps identify unusual patterns that may indicate unauthorized access attempts or fraudulent transactions.
Parent topic: Introduction