System for scaling and transforming high volume entitycentric data sets into device-centric behavior cycles

A system comprising:

• a memory;
• and
• a processing device, operatively coupled to the memory, to:
• render sensor data into a time series, wherein the sensor data includes one or more features associated with an entity in a computer network across one or more time windows;
• compress the time series across the one or more time windows to a timeframe that is less than the one or more time windows;
• determine a baseline environment of the one or more features of the sensor data, wherein the baseline environment includes expected performance metrics of the one or more features across the one or more time windows;
• and
• detect an anomalous event associated with the one or more features of the sensor data within the time series, wherein the anomalous event includes unexpected performance metrics of the one or more features within the timeframe that deviate from the expected performance metrics of the baseline environment.

A non-transitory computer readable medium, storing instructions that, when executed by a processing device, cause the processing device to:

• render sensor data into a time series, wherein the sensor data includes one or more features associated with an entity in a computer network across one or more time windows;
• compress the time series across the one or more time windows to a timeframe that is less than the one or more time windows;
• determine a baseline environment of the one or more features of the sensor data, wherein the baseline environment includes expected performance metrics of the one or more features across the one or more time windows;
• and
• detect, by the processing device, an anomalous event associated with the one or more features of the sensor data within the time series, wherein the anomalous event includes unexpected performance metrics of the one or more features within the timeframe that deviate from the expected performance metrics of the baseline environment.