1. A method for detecting masquerade attacks, the method comprising: monitoring, by a hardware processor, a first plurality of user actions in a computing environment; monitoring files in the computing environment that contain decoy information; generating a user intent model for a category that includes at least one of the first plurality of user actions; monitoring a second plurality of user actions; comparing the second plurality of user actions with the generated user intent model by determining whether at least one of the second plurality of user activities deviates from the generated user intern model; determining whether the second plurality of user actions includes accessing the files in the computing environment that contain the decoy information in response to determining that at least one of the second plurality of user actions deviates from the generated user intent model; identifying whether the second plurality of user actions is a masquerade attack based at least in part on the comparison; and generating an alert in response to identifying that the second plurality of user actions is the masquerade attack and in response to determining that the second plurality of user actions includes accessing the flies in the computing environment that contain the decoy information.