Machine Learning Models Per User
There are three levels of granularity for ML models:
Skyhawk Ecosystem: These models are applied across the entire cloud environment. For example, risk scoring is done at this level. Aggregating data from all customers improves the accuracy of the product.
Customer Cloud: These models are to measure deviations from the normal behavior for things like network traffic, asset usage, etc.
Within the customer cloud: These models are more specific and granular. For example, models that monitor what APIs users are leveraging on a regular basis.