Askedam User Behavior Analytics Rules (UBA)

Askedam UBA security layer monitors user behavior to spot and isolate compromised accounts

ASKEDAM | User Behaviour Analytics (UBA)

Customize baseline user behavior

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.

Get real-time activity context

Askedam 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.

Automate alerts and remediation

Receive alerts whenever Askedam detects suspicious activity. You can also automatically disable compromised accounts or review activity context to take necessary action.

Verify users with two-factor authentication

Askedam 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.

ASKEDAM | User Behaviour Analytics (UBA)

User behavior analytics: common scenarios

Anomalous Login

User is logged in to his laptop and logs in to a sensitive database.

New VPN Connection

User remotely logs in to a file server via VPN for the first time.

Multiple Concurrent Connections

User is logged in to multiple resources within a short timeframe.

Off Hours SAAS Login

User that typically works on an on-prem desktop logs in remotely to the organization’s Dropbox.

Let’s get started

Ready to extend visibility, threat detection and response?

Need some more convincing? check this out

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