Patent ID: 11936670
Assignee: SEQUOIA BENEFITS AND INSURANCE SERVICES, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 20:
21. A system for using a trained machine learning model with respect to information pertaining to characteristics of upload activity performed at a client device, the system comprising:
a memory; and
a processing device, coupled to the memory, to:
provide to the trained machine learning model first input comprising (i) information identifying, for each of a plurality of application categories, data categories pertaining to first amounts of data uploaded during a specified time interval, wherein each of the plurality of application categories comprise one or more applications that are installed at the client device and that upload the first amounts of data; and
obtain, from the trained machine learning model, one or more outputs identifying (i) an indication of the data categories, for each of the plurality of application categories, pertaining to first amounts of data uploaded from the client device, and (ii) for each of the plurality of application categories, a level of confidence that the data categories correspond to a malicious upload activity.