Insider risk management is more critical than ever as human error and insider threats drive escalating security breaches. While many organizations have adopted User and Entity Behavior Analytics (UEBA) to monitor potential risks, relying solely on UEBA may fall short of the depth needed to stay ahead of these increasingly complex threats.

Analysts rely on User and Entity Behavior Analytics (UEBA) tools to track anomalies, investigate incidents, and respond to cybersecurity threats. However, the varying nature of user and entity behaviors across different organizations means that predetermined thresholds often fail to account for unique baselines. Even within the same environment, temporal variations can cause significant differences in monitoring signals.

In an era marked by an increasing volume and sophistication of cyber threats, the efficiency of your SOC operations has become more important than ever. SOCs are flooded by a daily barrage of attacks and alerts, with a significant portion being false positives, leading to alert fatigue and the potential for genuine threats to slip through the cracks.

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.

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?

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 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.