Abstract: Disclosed herein are methods and systems for identifying malicious network activity. In an embodiment, a method comprises monitoring, by a computer, network activity of a user having a baseline network activity; executing, by the computer, a machine learning model to determine a network activity score indicating a likelihood of the network activity being malicious activity for the baseline network activity, the machine learning model having been previously trained based on malicious activity and corresponding baseline network activity; and displaying, by the computer, the network activity score.