As discussed on our Platform Overview page, Indeni crowdsources the issues, commands (rules) and data points (metrics) that monitor and inspect devices. The combination of data and context is what we call “Indeni Knowledge”. The collection, analysis, and correlation scripts located in the knowledge database are coded by experts at the device manufacturer, industry experts, and Indeni customers. It is through these custom scripts and the collaboration across environments that Indeni is able to learn ‘normal’ and ‘abnormal’ behavior.
Here’s deeper dive into how this works: