User Entity & Behavior Analytics (UEBA)

Identify threats unique to your user’s activity

Adlumin applies User & Entity Behavior Analytics (UEBA) to uncover threats by constantly analyzing your security and operational data. And alerts when activity deviates from what’s expected.

Contact us to learn more about Adlumin’s UEBA

Stay ahead of threats. Eliminate risks.

More and more SaaS applications are used by businesses daily, creating a new perimeter to defend against – identity. It’s difficult to spot when a user performs an unusual activity like login location, times, or accessing certain files. User Entity & Behavior Analytics (UEBA) is a form of machine learning that learns how each user acts in your environment and alerts when a user’s behavior changes from what’s expected.

How does Adlumin’s UEBA work?

Adlumin’s Security Operations Platform ingests data from individual users and entities, like servers, workstations, and endpoints. It then starts to learn user behavior to develop an expected baseline. Deviations from these baselines can signal a security incident and other events requiring attention.

Adlumin UEBA Benefits

Smarter, Quieter Alerts

Adlumin’s model user command executions lead to detections of abnormal executions without excessive false positives and without arbitrarily discarding analysis-worthy data.

Full Visibility

Our hyper-scalable, patented architecture means the platform updates machine learning algorithms for anomaly detection across countless data streams.

Stop Threats Quickly

You receive a notification when anomalous activity occurs and can act either manually or through the security orchestration and response playbooks.

Adlumin UEBA Features

Full Network Visibility

Adlumin delivers end-to-end visibility into incoming data records through the detection process, giving the user control over the detection and surveillance capability via state-of-the-art and intuitive entry points.

Behavioral Patterns

Autonomous parsing of streaming data using advanced algorithms detects anomalous events by efficiently learning baseline maps of normal messages, utilizing techniques that are especially scalable for cloud computing environments.

Total Metric Visualization

Adlumin visualizes usage, web, and project execution metrics from any system, including Jenkins, using isolation forest and other tree-based techniques within the umbrella of unsupervised machine learning, allowing users to direct investigative or analyze resources effectively.

Adlumin UEBA Threat Hunting Features

Full Network Visibility

Adlumin delivers end-to-end visibility into incoming data records through the detection process, giving the user control over the detection and surveillance capability via state-of-the-art and intuitive entry points.

Behavioral Patterns

Autonomous parsing of streaming data using advanced algorithms detects anomalous events by efficiently learning baseline maps of normal messages, utilizing techniques that are especially scalable for cloud computing environments.

Total Metric Visualization

Adlumin visualizes usage, web, and project execution metrics from any system, including Jenkins, using isolation forest and other tree-based techniques within the umbrella of unsupervised machine learning, allowing users to direct investigative or analyze resources effectively.

Full Network Visibility

Adlumin delivers end-to-end visibility into incoming data records through the detection process, giving the user control over the detection and surveillance capability via state-of-the-art and intuitive entry points.

Behavioral Patterns

Autonomous parsing of streaming data using advanced algorithms detects anomalous events by efficiently learning baseline maps of normal messages, utilizing techniques that are especially scalable for cloud computing environments.

Total Metric Visualization

Adlumin visualizes usage, web, and project execution metrics from any system, including Jenkins, using isolation forest and other tree-based techniques within the umbrella of unsupervised machine learning, allowing users to direct investigative or analyze resources effectively.

- Nate D., Senior Systems Analyst

“As humans, there is only so much we can parse through a day, but when throwing in machine learning that Adlumin has got on the [Security Operations Platform], it is so powerful because it can pick out those patterns much faster than a human could. And that has been a huge time saver for us.”

Additional Resources

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