Abstract: A method for training a machine learning model using information pertaining to characteristics of upload activity performed at one or more client devices includes generating first training input including (i) information identifying, for each of a plurality of application categories, data categories pertaining to first amounts of data uploaded from the client device during a specified time interval. The method includes generating a first target output that indicates whether the data categories corresponding to the first amounts of data correspond to malicious or non-malicious upload activity. The method includes providing the training data to train the machine learning model on (i) a set of training inputs including the first training input, and (ii) a set of target outputs including the first target output.

Abstract: A method and system for using a trained machine learning model with respect to information pertaining to a job title of multiple job titles to determine a job family of multiple job families that corresponds to the job title is disclosed. First input comprising information identifying the job title associated with an organization of a plurality of organizations is provided to the trained machine learning model. One or more outputs identifying (i) an indication of the job family that identifies a category of personnel positions that are categorized based on one or more characteristics that are shared between the personnel positions of the category, and (ii) a level of confidence that the job family corresponds to the job title is obtained from the trained machine learning model.

Abstract: A method for training a machine learning model using information pertaining to characteristics of upload activity performed at one or more client devices includes generating first training input including (i) information identifying first amounts of data uploaded during a specified time interval for one or more of multiple application categories, and (ii) information identifying first locations external to a client device to which the first amounts of data are uploaded. The method includes generating a first target output that indicates whether the first amounts of data uploaded to the first locations correspond to malicious or non-malicious upload activity. The method includes providing the training data to train the machine learning model on (i) a set of training inputs including the first training input, and (ii) a set of target outputs including the first target output.

Abstract: A system and method are disclosed for training a machine learning model using information pertaining to job titles. Training data for the machine learning model is generated. Generating the training data includes generating first training input including information identifying the job titles associated with organizations, and generating a first target output for the first training input. The first target output identifies an indication of job families. A job family identifies a category of personnel positions that are categorized based on one or more characteristics that are shared between the personnel positions of the category. The training data to train the machine learning model on (i) a set of training inputs including the first training input, and (ii) a set of target outputs including the first target output is provided.