Device behavior analytics

A device comprising:

• a non-transitory memory for storing an application, the application configured for:
• monitoring behavior information of components of the device;
• inputting the behavior information to a machine learning system;
• generating a machine learning model;
• comparing current behavior information with the machine learning model,
• wherein the machine learning model includes recorded device behavior information;
• and
• affecting a device trust score based on the comparison of the current behavior information with the machine learning model, including decreasing the device trust score when the current behavior is beyond a threshold related to the recorded device behavior information;
• and
• a processor configured for processing the application.

A server device comprising:

• a non-transitory memory for storing an application, the application configured for:
• implementing a machine learning system;
• receiving behavior information from a user device and inputting the behavior information into machine learning system;
• generating a machine learning model using the machine learning system;
• comparing current behavior information received from the user device with the machine learning model, wherein the machine learning model includes recorded device behavior information;
• and
• affecting a trust score of the user device based on the comparison of the current behavior information with the machine learning model, including decreasing the device trust score when the current behavior is beyond a threshold related to the recorded device behavior information;
• and
• a processor configured for processing the application.