Anomaly Detection System

Development of Anomaly Detection System, with the aim of issuing alerts in real time to detect suspicious transactions.

Anomaly detection view e1597165327118
  • Bi-Directional LSTM

    A single Neural Networks model is trained with Tensorflow, capable of detecting the patterns of multiple time series and making predictions.

  • Confidence intervals and alerts

    From the past prediction errors, the confidence intervals are calculated for the different prediction horizons, which allows us to build the thresholds from which alerts will be issued.

  • Alerts based on severity

    Different thresholds are calculated, which will allow the alerts to be issued depending on the degree of deviation thereof.

  • The infrastructure developed entirely in AWS.

    All integrations are made with different messaging services to issue the corresponding alerts.