10 Reasons to Add UEBA to Your SIEM

In today’s ever-evolving cybersecurity landscape, organizations face a myriad of threats that require advanced security measures to detect and mitigate external and internal attacks. User and Entity Behavior Analytics (UEBA) is a powerful tool that can enhance the capabilities of Security Information and Event Management (SIEM) systems. By integrating UEBA with your legacy SIEM, you can gain valuable insights into user and entity activities, allowing you to predict, detect and respond to more accurate alerts.

UEBA, Legacy SIEM and Next-Gen SIEM

There are two ways to incorporate UEBA into your SIEM solution. You can either enhance your existing SIEM with UEBA augmentation capabilities or assess the latest generation of SIEM solutions, which use UEBA as the foundation of their high-fidelity threat detection capabilities. As each Security Operations Center (SOC) is unique, organizations need the flexibility to choose the strategy that best suits their current needs and remains viable in the future (i.e. SIEM augmentation vs SIEM replacement with Next-Gen SIEM).

It’s crucial to recognize that not all UEBA solutions are equal in capabilities. Many legacy SIEM providers offer “check the box” UEBA bolt-on solutions that do not deliver the same results as mature or purpose built UEBA solutions. It’s no coincidence that the leading UEBA solutions are quickly penetrating the SIEM market. Though behavioral analytics are the foundation for Next-Gen SIEM offerings, they’re still able solve the fundamental legacy SIEM use case for log management and query capabilities – those are table stakes.

10 Reasons Why UEBA Must be Added to SIEM:

Advanced Threat Detection

User and Entity Behavior Analytics (UEBA) is a powerful tool that enhances threat detection capabilities. By closely analyzing user and entity behaviors, UEBA can identify potential security risks that might otherwise be overlooked by traditional legacy SIEM solutions and their static rule-based models. UEBA’s ability to detect anomalies and patterns in user and entity behaviors allows security teams to stay one step ahead of potential threats, mitigating risks and protecting sensitive data. With its sophisticated algorithms and machine learning capabilities, UEBA offers a comprehensive solution for identifying and addressing security vulnerabilities. By leveraging UEBA, organizations can strengthen their security posture and ensure the integrity of their systems and networks.

Insider Threat Detection

With the help of UEBA, organizations can enhance their ability to effectively detect insider threats. This is achieved by closely monitoring user activities and identifying any deviations from normal behavior patterns. By enriching these abnormalities with adjacent threat context, organizations can gain a deeper understanding of potential insider threats. UEBA provides a valuable tool for organizations to proactively address and mitigate the risks associated with insider threats.

Anomaly Detection

User and Entity Behavior Analytics (UEBA) is a powerful tool that can effectively identify and flag anomalies in user and entity behavior. These anomalies can include unusual access patterns or suspicious data exfiltration attempts, which could potentially indicate security breaches or unauthorized activities. By analyzing and monitoring user and entity behavior, UEBA can provide valuable insights and early warnings to security teams, enabling them to take prompt action and mitigate potential risks. With its ability to detect and respond to abnormal behavior, UEBA plays a crucial role in enhancing overall security posture and safeguarding sensitive data.

Behavioral Profiling

This a crucial aspect of User and Entity Behavior Analytics (UEBA). It involves the creation of peer-group behavioral baselines for users and entities within an organization. By establishing these baselines, organizations can effectively monitor and analyze behavior patterns. This allows them to swiftly detect any deviations that may indicate a potential security threat. UEBA plays a vital role in enhancing an organization’s security posture by providing real-time insights into anomalous activities and enabling proactive threat detection and response.

Reduced False Positives

UEBA is a valuable tool in the cybersecurity arsenal that aids in minimizing the occurrence of false positive alerts. By leveraging its capability to correlate multiple data points and conduct contextual analysis of user and entity behaviors within the Security Information and Event Management (SIEM) environment, UEBA enhances the accuracy of threat detection, resulting in higher fidelity detections. This means that organizations can rely on UEBA to sift through vast amounts of data and identify genuine threats, reducing the noise and minimizing the chances of overlooking critical security incidents.

Incident Response Enhancement

Integrating UEBA with SIEM provides valuable insights into potential security incidents, empowering security teams to respond effectively and efficiently. With UEBA and SIEM working together, organizations can proactively identify and mitigate threats, minimizing the impact of security incidents on their systems and data. This integration allows security teams to analyze user behavior, detect anomalies, and correlate events across the network. By leveraging the power of UEBA and SIEM, organizations can strengthen their incident response processes and ensure a swift and effective response to any security incident that may arise.

Compliance and Regulatory Requirements

UEBA can be a valuable tool for organizations when it comes to meeting compliance and regulatory requirements. By offering detailed insights into user activities and data access, UEBA can greatly aid in the audit and reporting processes. This can help organizations ensure that they are adhering to the necessary regulations and standards in their industry. With UEBA, organizations can have a better understanding of how users interact with their systems and data, allowing them to identify any potential risks or violations. By having this level of visibility and control, organizations can proactively address any compliance issues and mitigate the associated risks. Additionally, UEBA can provide organizations with the necessary documentation and evidence to demonstrate their compliance efforts to regulatory bodies or auditors. This can streamline the compliance process and save organizations time and resources.

Insight into Privileged User Activities

UEBA provides valuable visibility into the activities of privileged users, enabling organizations to effectively monitor and proactively mitigate any potential misuse or abuse of their elevated access rights. This enhanced level of oversight helps ensure the security and integrity of sensitive data and systems, safeguarding against unauthorized actions and minimizing the risk of insider threats. By leveraging UEBA, organizations can gain a comprehensive understanding of privileged user behavior, identifying any anomalous or suspicious activities that may indicate a security breach or policy violation.

Data Loss Prevention

With UEBA, organizations can proactively monitor and analyze user behaviors to identify potential data exfiltration attempts. This advanced technology enables the prediction, detection, and prevention of data breaches, significantly mitigating the risk of data theft. UEBA acts as a vigilant guardian, constantly monitoring user and entity activities, identifying anomalies, and taking immediate action to thwart any unauthorized data exfiltration attempts. By continuously analyzing patterns and trends, UEBA provides organizations with valuable insights into potential threats, allowing them to take proactive measures to safeguard their sensitive data.

Predictive Security Analytics

UEBA utilizes advanced machine learning algorithms and behavioral analytics to deliver predictive security analytics. This cutting-edge technology empowers organizations to stay one step ahead of potential security threats by proactively identifying and addressing them before they have a chance to escalate. With UEBA, organizations can leverage the power of data and analytics to gain valuable insights into user behavior, detect anomalies, and identify patterns that may indicate a security breach. By analyzing vast amounts of data, UEBA can identify subtle changes in user behavior that may go unnoticed by traditional security measures. This enables organizations to take proactive measures to mitigate risks and protect their sensitive data and assets. With its ability to continuously learn and adapt to evolving threats, UEBA provides organizations with a robust defense against emerging security challenges. By leveraging the power of machine learning and behavioral analytics, UEBA is revolutionizing the way organizations approach security, enabling them to stay ahead of the curve and effectively safeguard their digital assets.

Complementing UEBA & SIEM with Identity & Access Analytics for More Context

Complementing UEBA with Identity & Access Analytics (IdA) adds another layer of context and cross-validation to determine the true nature of identified risky anomalous behavior. Next-Generation SIEM solutions, such as Gurucul, utilize advanced analytics and Machine Learning models to cross-validate traditional security data, UEBA data, and Identity and Access data, enabling the discernment and prioritization of true threats. By incorporating Identity & Access data, a UEBA installation is strengthened, focusing efforts on predicting, detecting, and preventing the most significant risks for data exfiltration, sabotage, or unauthorized lateral movement. This integration enhances overall security posture by providing contextualized insights and facilitating high-fidelity threat detections, empowering security analysts with comprehensive case of evidence for informed and precise decision-making.