User and Entity Behavior Analytics (UEBA)

UEBA is an acronym that stands for User and Entity Behavior Analytics. It is a category of security solutions that use machine learning and analytics technology to identify risky or abnormal behavior by users or machines on a network. This system defines baselines of normal user and machine behavior, then uses these baselines to identify abnormal behavior. The system is helpful to prevent attacks and intrusion into the network. It can also detect non-malware-based attacks.

What are the UEBA’s three pillars?


UEBA solutions report cases of abnormal or unusual behavior of users and network devices. The cases are used to identify, analyze, and alert any anomalies found in the behavior of the users or network devices. UEBA can be used to detect zero-day exploits, compromised or malicious insider users, and other types of security threats. 

Data Sources

UEBA solutions collect data from various data sources, such as network flows, system logs, packets, and data warehouses. They also ingest available data from security information and event management (SIEM), which are a set of security tools to manage multiple applications and devices. 


UEBA solutions are used to analyze data. This can include a variety of analytics methods such as statistical modeling, machine learning, and rule-based analytics. In data analysis, UEBA solutions create a baseline that is used to detect anomalies by comparing the baseline to the behavior of the users and network devices. 

What is the difference between UBA and UEBA?

UBA, or user behavior analytics, is a form of security threat detection that uses analytics such as data science or machine learning. It analyzes how a user behaves in a certain environment, so it can determine abnormal user behavior that deviates from normal behavior. UBA is different from UEBA as it focuses on the user level, while UEBA also considers other types of suspicious activity, including network traffic, external IP addresses, or unusual ports. This means that UEBA can tackle non-human processes and machine entities, which are not part of the UBA security system.EUBA’s broader scope allows it to deliver wider security coverage for the entire IT network.

UEBA vs. traditional threat detection technology

UEBA’s approach includes tools that are not offered by traditional threat detection technology. UEBA offers several automated security analysis tools that collect and process data logs from users and devices. This allows for more efficient monitoring of the system. Apart from automated threat detection, there are also automatic threat response tools such those that block suspicious users until the full analysis is complete.

Another of UEBA’s advantages is early threat detection of abnormal changes in user behavior before they break any security protocols. Compared to traditional threat detection technology, UEBA requires less maintenance after initial configuration by security teams.

Ali Azhar
Ali Azhar
Ali is a professional writer with diverse experience in content writing, technical writing, social media posts, SEO/SEM website optimization, and other types of projects. Ali has a background in engineering, allowing him to use his analytical skills and attention to detail for his writing projects.

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