You can configure the procedure for detecting anomalies based on the specific features of your monitored asset by enabling or disabling specific anomaly detection in the Anomaly Detector service settings.
System administrators can configure the Anomaly Detector service.
To configure the settings of the Anomaly Detector service:
You will be taken to the administrator menu.
A list of options appears on the right.
Limit Detector logs incidents when the upper or lower blocking thresholds set for the tag are exceeded.
ML model predictive elements register incidents when detecting discrepancies between observed and predicted tag values.
Diagnostic rules register incidents when the output of a diagnostic rule exceeds a predetermined limit.
If the toggle switch is on, during ML model inference, its components do not generate any artifacts when no data is received for the ML model element tags for a period longer than the UTG period as specified in Grid step (sec) for that element.
The higher the value, the less frequently Anomaly Detector requests records from Message Broker. The value depends on the amount of telemetry data received by Kaspersky MLAD in real time.