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.

Cybercrimes are continually evolving. Make the Exabeam website and blog a regular source for your information security knowledge.

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Insider Threat Examples: 3 Famous Cases and 4 Preventive Measures

What are Insider Threats? Insider threats are security risks that originate from within the organization. The threat actor is not necessarily a current employee or officer in the organization. Insider threats could be consultants, former employees, business partners, or board members. There is a wide range of insider threats, each with its own impacts on… Read more »


UEBA Articles

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

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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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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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