Abstract: Systems and methods for session similarity identification include receiving historical sessions for one of a plurality of machines operating in a cloud-based system. The methods can include receiving and manage sessions from any number of machines in the cloud-based system. The system then receives monitored sessions for the machine or plurality of machines, and calculates a similarity between the received historical sessions and the received monitored sessions. After calculating the similarity, the system defines a risk score based on the similarity.

Abstract: Systems and methods for detecting abnormal permissions in a cloud environment include obtaining data associated with a cloud environment; partitioning the data into a plurality of groups and windows, wherein each of the windows includes one or more groups; determining one or more groups within a window having a similarity; and identifying one or more groups as having abnormal permissions based on the similarity. Based on a similarity score being above a threshold, the systems can be adapted to identify the differences, i.e.

Abstract: Systems and methods for session similarity identification include receiving historical sessions for one of a plurality of machines operating in a cloud-based system. The methods can include receiving and manage sessions from any number of machines in the cloud-based system. The system then receives monitored sessions for the machine or plurality of machines, and calculates a similarity between the received historical sessions and the received monitored sessions. After calculating the similarity, the system defines a risk score based on the similarity.