User and Entity Behavior Analytics (UEBA) is a long-term that essentially refers to a security process that utilizes analytics to identify abnormal network behavior. UEBA takes a proactive approach by scanning the actions of users and entities within a network. It doesn’t just react to threats but also establishes a baseline from which it learns to be more precise and timely, empowering you to stay ahead of potential security breaches!

Imagine being able to halt cybercriminals before they strike. This is the power of UEBA (User and Entity Behavior Analytics). UEBA stands out for its capability to identify suspicious activities that could indicate a security breach or insider threat. It does this by analyzing patterns and behaviors, making it a unique and powerful tool in the cybersecurity landscape. This article explores 17 powerful use cases demonstrating why UEBA protects your business.

Are your cybersecurity tools working together effectively? UEBA (User Entity Behavior Analytics) and SIEM (Security Information and Event Management) are two of the most potent cybersecurity solutions in modern organizations, but they serve very different purposes. UEBA identifies risky behaviors, while SIEM collects and analyzes security data across your network.

As cyber threats continue to surge and malicious insiders pose significant risks, user and entity behavior analytics (UEBA) tools have become an essential component of a comprehensive security strategy, helping organizations to detect anomalous behavior and hidden threats.

The financial repercussions of data breaches have soared, with organizations facing an average loss of $4.45 million per incident in 2023. However, beyond only financial implications, organizations that suffer a data breach face other severe consequences, including legal ramifications, productivity halts, and often worse, reputational damage amongst their clientele.

As the world becomes increasingly digital, cyber-attacks are becoming more sophisticated, and traditional security measures, like firewalls and passwords, are no longer sufficient in protecting sensitive data. This raises a critical question: how can organizations identify hidden threats lurking within their networks?

As the cybersecurity landscape continually evolves, SOCs must quickly identify, evaluate, and counteract cyberattacks. In the heat of a security investigation or incident response, achieving rapid visibility and rich contextual insights about the attack are not merely advantageous, but essential.

In the fast-paced world of cybersecurity, where the threat landscape is continuously evolving, organizations face unprecedented challenges. An expanding attack surface, rising vulnerabilities, and a relentless onslaught of cyberattacks have significantly increased organizational risk.

User and Entity Behavior Analytics (UEBA) is vital in safeguarding sensitive information and systems. It offers an innovative and dynamic security approach beyond traditional measures. By analyzing and comparing user behavior patterns against established baselines, UEBA systems intelligently detect anomalies that could signify a security breach.

The Elastic InfoSec Threat Detection team is responsible for building, tuning, and maintaining the security detections used to protect all Elastic® systems. Internally, we call ourselves Customer Zero and we strive to always use the newest versions of our products. This blog details how we are building packages of detection rules that work together to create a high fidelity alert for strange user behavior.