Beyond the Rules: How UEBA Revolutionizes Threat Detection Over Traditional SIEM´s

In the dynamic world of cybersecurity, organizations have traditionally relied on correlation-based security information and event management (SIEM) systems to detect threats; this approach has significant limitations, especially in the face of the increasing sophistication of cyberattacks.

Limitations of traditional SIEM´s

Traditional SIEMs rely on predefined correlation rules that identify threats based on known patterns. This method faces several challenges:

Limitations of traditional SIEM´s.

The evolution towards UEBA

To overcome these limitations, User and Entity Behavior Analytics (UEBA) has emerged. Unlike traditional SIEMs, UEBA uses machine learning algorithms to establish patterns of “normal” behavior and detect anomalies that could indicate threats, even without prior knowledge of the type of attack.

Advantages of integrating SIEM with UEBA

Combining SIEM and UEBA offers a more robust security solution:

Advantages of integrating SIEM with UEBA.

Selecting the right supplier

It is essential to choose a vendor that offers seamless integration between SIEM and UEBA. Some solutions add UEBA as an add-on, which can result in a poor user experience. Exabeam stands out for its advanced support for both correlation rules and UEBA, providing an integrated solution that maximizes threat detection and improves analyst productivity.

In an ever-evolving threat environment, relying solely on correlation rules is no longer enough. UEBA integration, powered by machine learning, has become a necessity for proactive and adaptive threat detection. By combining the best of both worlds – rules for known threats and machine learning for the unknown – organizations can establish a more effective defense system prepared to face any challenge.

To delve deeper into how UEBA can strengthen your organization’s security, consider exploring market-leading solutions that effectively deliver this integration.

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