Data Trends and Alerts
This page allows you to explore detections (alerts) within a given dataset:

This page has the following sections:
Feedback Loop
Actian Data Observability offers both ways of managing thresholds for alerts: automatic, using ML, or manual.
In the case of automatic thresholds, it’s crucial to provide the system feedback when anomalous data was scanned and when it should not be used for model fine-tuning for future detections. This can be done by hovering over a particular scan and marking it to be ignored:
Last modified date: 02/20/2026