Kaspersky Machine Learning for Anomaly Detection

Incidents detected by the Stream Processor service

December 6, 2023

ID 247972

The Stream Processor service gathers real-time telemetry data received from the monitored asset at arbitrary points in time and converts this data to a uniform temporal grid (UTG). When analyzing incoming data, the Stream Processor service can detect losses of telemetry data and observations that were received by Kaspersky MLAD too early or too late. The Stream Processor service registers an incident in such cases.

Incidents detected by the Stream Processor service are displayed in the incidents table of the Incidents section. Each incident registered by the Stream Processor service is automatically assigned one of the following incident types:

  • Clock malfunction – observations received by Kaspersky MLAD too early are detected.
  • Late receipt of observation – observations received by Kaspersky MLAD too late are detected.
  • No data – input data stream for a specific tag was terminated or interrupted.

The Stream Processor service transfers the UTG-converted data to the ML model of the Anomaly Detector service.

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