Patent attributes
Methods, apparatus, and processor-readable storage media for machine learning risk assessment utilizing calendar data are provided herein. An example computer-implemented method includes processing historical calendar data attributed to users on a network; generating, based on the processed historical calendar data and historical user activity data associated with the network, a machine learning user activity model; processing input data, wherein the input data comprise additional user activity data associated with the network attributed to one of the users and additional calendar data temporally related to the additional user activity data; generating a risk assessment output for the user by applying the machine learning user activity model to the processed input data; and providing the risk assessment output to one or more risk management entities within the network for execution of one or more automated actions based on the risk assessment output.
