1.2 Key Features of the System

  • Automated Anomaly Detection: The system automatically flags suspicious login attempts and payment activities.
  • Customizable Model Settings: Users can define and adjust various model parameters, including sensitivity, error metrics, and data sources.
  • Real-time Monitoring: The system enables continuous tracking and drift detection to ensure model effectiveness over time.
  • Debugging and Logging: Provides detailed logs for troubleshooting.
  • User-Friendly Interface: Simplifies model setup, evaluation, and maintenance through intuitive screens and action buttons.