In order to rapidly respond to cybersecurity incidents, admins and managers need to be able to identify abnormal or anomalous behaviors taking place within their organization. This includes not just on endpoints, but wherever sensitive data lives, in order to protect it. There are many options and approaches to enabling UEBA functionality, so we’re going to highlight features of the top UEBA solutions in the industry to empower you to decide which is best for your org.

Best UEBA Solutions

1. Cyberhaven (best overall)

Cyberhaven is a data-aware insider threat detection platform that brings together endpoint data loss prevention with incident response capabilities. Cyberhaven combines intelligence about data ingress and egress (e.g. is it a recorded all-hands meeting or a video of cat on a skateboard) to and from user devices with user behavior to more accurately detect real threats. This provides unparalleled accuracy in identifying whether real-time user activity violates your policies and enables automatic remediation or prevention of such incidents. Connecting as both an agent on the device and in the browser, as well as through cloud APIs Cyberhaven can monitor data movement to and from SaaS environments on employee devices. These events can be ingested into a SIEM for further review and analysis.

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2. Splunk

Splunk User Behavior Analytics (UBA) is an add on functionality for users of the SIEM who want to detect risk and events stemming explicitly from end user behavior. Splunk leverages machine learning algorithms to provide analysis of user behavior and to identify anomalous activity. Behavior is given a risk score based on behavior pattern baselining, peer group analytics, and continuous profiling of users and groups. Because Splunk UBA requires a Splunk license, it’s ideal for teams already using Splunk as a SIEM and teams with the investment to manage the large volume of activity flowing through a SIEM platform.

3. Rapid 7

Rapid 7’s InsightIDR combines a SIEM with XDR (Extended Detection & Response), and user behavior analytics so that both reporting and incident investigations are made easier. Like other UEBA tools, InsightIDR uses machine learning to help, tag, categorize, and automatically identify potential threats and suspicious activity worth investigating in the event of a major incident. A key differentiator for the product is that alerts automatically create investigations, meaning that they will contain the chain of behaviors and events relevant to the impacted asset.

4. LogRhythm

LogRhythm is first-and-foremost a logging and SIEM solution. LogRhythm UEBA integrates with the LogRhythm solution, adding a “Cloud AI” functionality on top of the SIEM. Cloud AI provides an artificial intelligence that introduces a new log source to view and manage the behavior of users. This log source contains information categorized by anomaly type, source origin identity, and more. Like data from all other log sources, Cloud AI data can be added to modular graphical widgets to help you visualize risk from individual sources (like users who engage in specific types of activities). Similar to other SIEMs with UEBA functionality, the biggest benefits will be for users and teams who’ve already adopted the core platform and are using it as their primary SIEM.

5. IBM

IBM’s QRadar product line is one of the industry’s long standing SIEM and data analytics platforms. QRadar brings together multiple capabilities like NDR and SOAR functionalities. One component of QRadar is its User Behavior Analytics app which looks at apps, logs, and flows to provide a baseline of normal behavior. Using machine learning, QRadar can then identify and surface deviations from baseline user behavior. QRadar provides user risk scoring and admins can create watchlists that monitor for changes over time.

6. Cynet

Cynet 360 AutoXDR aims to be an all-in-one security solution, combining multiple security tools like incident response (EDR & XDR), with UEBA, and log management. Security analysts using this product find its core differentiator tends to be its relatively easy to use UI. Because of its coverage scope (from endpoint and network security to UEBA), Cynet is intended to be run by larger organizations or security teams that have the investment to manage a solution of this size.

7. Securonix

Securonix brands itself as a security operations and analytics platform, combining SIEM and SOAR functionality with threat management features that can satisfy a UEBA use case. Securonix offers out of the box threat models and machine learning detection that can help provide automation to address data exfiltration events and enable data security. Because of its SOAR capabilities, it has connectors that allow it to plug into a number of other platforms and easily collect data from any log source.

8. Gurucul

Gurucul consists of a broad security analytics platform that combines SIEM, UEBA, and XDR components. It claims to allow users to leverage over 1000 machine learning models out of the box to scan for popular threat management use cases. The solution also can analyze a user’s social media and website visits as a way to infer user sentiment that could contribute to their risk.

9. ManageEngine

ManageEngine Log360 is a SIEM that provides access to Active Directory auditing along with UEBA and other tools. Addon functionality includes mail server auditing for Microsoft Exchange, and AD Manager Plus which augments the active directory auditing functionality in the basic product. UEBA capabilities for the product center around machine learning based anomaly detection and an incident management console that aggregates these findings from a large variety of data sources, including common ones like network layer sources and user endpoints.

10. Proofpoint

Proofpoint Insider Threat Management, formally known as Proofpoint ObserveIT, provides user behavior analytics on end user devices. This includes data egress to external media as well as use of non sanctioned software. Because Proofpoint is also a data loss prevention provider, it combines some predefined data classifications to identify files that are more sensitive than others as part of its analysis of risky user behavior.