Release history for the Splunk App for Anomaly Detection

The Splunk App for Anomaly Detection was formerly known as the Anomaly Detection Assistant for Splunk (beta). The Splunk App for Anomaly Detection became a Splunk supported app on April 6, 2023.

For the release notes of the latest version of the app, see New features for the Splunk App for Anomaly Detection.

Version 0.2.1

This version of Anomaly Detection Assistant for Splunk (ADAS) has the following new feature:

• Adds in a file to ensure that custom search commands leveraging Python for Scientific Computing can run successfully.

Version 0.2.0

This version of Anomaly Detection Assistant for Splunk (ADAS) has the following new features:

MLTK version 5.3.0 or higher and PSC version 3.0.0 or higher are required to use ADAS 0.2.0.

• Automatic seasonality detection: ADAS 0.2.0 can detect and account for seasonality in time series data automatically without requiring any user input.
• Time series health check: ADAS 0.2.0 will now run a health check on the selected time series to ensure that the data is fit for performing anomaly detection. It indicates the health of the time series as:
  • Green: The data is fit for anomaly detection
  • Yellow: The data has some characteristics that may result in less that optimal but user can still detect anomalies in the data
  • Red: The data is not fit for anomaly detection; user will not be able to use ADAS on this time series
• Sensitivity adjustment: User can press a "+" (or "-") button to detect more (or fewer) anomalies in the time series. The button press adjusts the algorithm's detection sensitivity under the hood.