UEBA

UEBA

User and Entity Behavior Analytics (UEBA) is the application of machine learning and security research to determine when users or entities are acting in unusual and risky ways.

Good UEBA doesn’t require static, predefined rules to detect threats, and can therefore evolve along with new techniques enabling your SIEM to be more efficient and effective.

For a quick intro to UEBA, view the UEBA chapter of our Guide to SIEM.

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An Outcome-based Approach to Use Cases: Solving for Lateral Movement

We recently announced a set of new functionalities aligned across Exabeam’s products to solve specific security challenges. These new Threat Detection, Investigation & Response (TDIR) use case packages provide a powerful, prescriptive solution to help security operations centers (SOCs) improve workflows from collection to detection, investigation and response using an outcome-based approach. Generally available in… Read more »


UEBA Articles

What Is an Insider Threat? Understand the Problem and Discover 4 Defensive Strategies

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Using Advanced Analytics to Detect and Stop Threats [White Paper]

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Understanding Insider Threat Detection Tools

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FEMSA Improves Security and Supercharges Their SOC With Exabeam

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Benefits of Using Exabeam to Augment Your SIEM    

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Get the Latest on Information Security

We cover the latest in cyber security, data science, artificial intelligence, machine learning, User and Entity Behavior Analytics (UEBA), and next-gen SIEM. Make the Exabeam website and blog a regular source for your information security knowledge.

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