Boon Amber

Boon Amber is a next-gen clustering algorithm by Boon Logic that builds a reliable "normal operation" model for each asset using a proprietary unsupervised machine learning approach. It is flexible in its ability to train on historical data or streaming data, in the cloud or on-premise while providing an easy integration to most interfaces via a Rest API.

Details for an example and its configuration can be found in the How to Use section.

Pre-requisites

The Agent requires a RESTful API metadata configuration file that contains the operations, their parameters, and the output schema of the operations.

Please refer to Metadata File Configuration for how to define RESTful API metadata.

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