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Use associate information, like role, group, geolocation, working hours and more to define normal behavioral patterns, then automatically detect suspicious activity, such as first-time and off-hour logins.
Cynet continuously correlates user activities against other events — such as endpoints, files and external network locations — to provide holistic information to determine real-time risk levels.
Receive alerts whenever Cynet detects suspicious activity. You can also automatically disable compromised accounts or review activity context to take necessary action.
Detect suspicious user activities such as lateral movement, C&C activity, accessing bad domains, etc.
User is logged in to his laptop and logs in to a sensitive database.
User remotely logs in to a file server via VPN for the first time.
User is logged in to multiple resources within a short timeframe.
User that typically works on an on-prem desktop logs in remotely to the organization’s Dropbox.
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