Unlocking Insights: The Power of User and Entity Behavior Analytics (UEBA)

 

User and Entity Behavior Analytics (UEBA) tools are a relatively new product that helps companies better comprehend cybersecurity concerns.

Threat analytics, security analytics, and user behavior analytics (UBA) are words that are similar to describe this technology. Many others have merely integrated UEBA into more comprehensive security systems, such extended detection and response (XDR) and security information and event management (SIEM).

Even if it’s being progressively absorbed, UEBA technology is still essential since it recognizes behavioral changes that can be signs of an attack, going beyond signature- or event-driven security technologies.

User and Entity Behavior Analytics security

Using only statistical analysis and user-defined correlation rules, several historical cyber security solutions were able to identify anomalies or deviations in behavior patterns. These tools are no longer useful against insider threats and unknown or zero-day assaults, even though they are successful at stopping known threats. Instead of depending on user-defined criteria or patterns, SOC teams can deploy User and Entity Behavior Analytics security to automatically identify unusual behaviors throughout whole corporate networks or computer systems.

By fusing the capabilities of machine learning, deep learning, and statistical analysis, UEBA gives SOC teams access to more complete threat detection tools, enabling enterprises to automatically identify sophisticated attacks that affect several users and entities. Furthermore, a UEBA system may analyze data in files and packets and compile data in logs and User and Entity Behavior Analytics Market Share reports.

How does UEBA security work?

UEBA gathers information about typical user and entity behavior patterns from system logs. After that, it uses sophisticated statistical analytic techniques to evaluate every dataset and provide reference points for these patterns of behavior. The foundation of UEBA is the establishment of baselines for behavior patterns, which enable the system to identify possible threats or cyberattacks.

Current user and entity behaviors are continuously compared to their respective baselines when using a UEBA system. After that, the UEBA cyber threat intelligence program determines risk scores and whether any deviations or anomalies in behavior patterns pose a hazard. The UEBA system notifies the SOC team members whenever a risk score goes above a predetermined threshold.

If a user downloads 5 MB of files daily but suddenly starts downloading gigabytes of files, for instance, a UEBA solution would detect this variation in the user’s behavior pattern and notify IT of a potential security risk.

Download Sample Report Here

According to Quadrant Knowledge Solutions, a UEBA solution as having essential attributes:

· Use cases: A UEBA solution should be capable of analyzing, detecting, reporting, and monitoring user and entity behavior patterns. Furthermore, as opposed to earlier point solutions, UEBA ought to concentrate on a variety of use cases as opposed to just one analysis, like fraud detection or trusted host monitoring.

· Analytics: A UEBA system should have sophisticated analytics tools that allow it to use many analytics techniques in one package to find anomalies in behavior patterns. These consist of rules and signatures, statistical models, and machine learning (ML).

· Data sources: Both directly from the data sources and via an existing data repository, such as a data warehouse or Security Information and Event Management (SIEM), a UEBA system should be able to ingest data from user and entity activities.

· Market Insights: Do not underestimate the essence of market data when choosing a UEBA tools. Resources such as “User and Entity Behavior Analytics Market Share, 2022, Worldwide” and “Market Forecast: User and Entity Behavior Analytics, 2022–2027, Worldwide”, would be invaluable resources in guiding your vendor selection process.

This is how this data empowers you:

Unearthing Key Players: Grasping their market share gives you an idea of their stage in the industry and experience.

Measuring Expansion Potential: It will be possible for a person to predict companies that are going to grow and for suppliers that can grow with your company.

Focus on specialist alternative providers: More so than anything else, this could mean identifying smaller competitors who concentrate on your sector leading to possibly bespoke solutions.

Click Here for More

Top User and Entity Behavior Analytics Tools

Cynet

Cynet 360 AutoXDR offers a comprehensive security solution that includes incident response (EDR and XDR), User and Entity Behavior Analytics tools, and log management. Security experts that use this application think that its main distinction is its very simple user interface. Cynet is designed to be administered by larger businesses or security teams with the resources to manage a solution of this magnitude due to its broad coverage breadth (from endpoint and network security to UEBA).

Securonix

Securonix markets itself as a security operations and analytics platform that combines SIEM and SOAR capability with threat management capabilities that can meet UEBA requirements. Securonix provides out-of-the-box threat models and machine learning detection, which can aid in the automation of data exfiltration events and enable data security. Because of its SOAR capabilities, it includes connectors that enable it to connect to a variety of other platforms and simply collect data from any log source.

Gurucul

Gurucul is a wide security analytics platform that includes SIEM, UEBA, and XDR components. It claims that customers may employ over 1000 machine learning models out of the box to search for common threat management use cases. The technology can also evaluate a user’s social media and website visits to determine user sentiment, which could increase their risk.

Cyberhaven

Cyberhaven is a data-driven insider threat detection technology that integrates endpoint data loss prevention and incident response capabilities. To better detect real threats, Cyberhaven integrates intelligence about data ingress and egress (for example, is it a recorded all-hands meeting or a video of a kitten on a skateboard) to and from user devices with user behavior. This delivers exceptional accuracy in determining whether real-time user activity breaches your policies, allowing for automatic correction or prevention of such incidents.

User and Entity Behavior Analytics tools help firms understand user and application activity across their tech infrastructures. As network traffic and enterprise software generate more data, IT and security experts will have more information to evaluate and distil. UEBA performs some of that work for them, shifting their workload from manual to more strategic tasks.

Talk To Analyst

Of course, UEBA products do not completely remove manual IT effort, nor are they one-and-done solutions. However, tailoring UEBA to your own infrastructure pays off: alarms make more sense, and you’ll start to discover behavioral patterns in databases, networks, and apps.