User & Entity Behavior Analytics

Why entity behavior analytics are fundamental to the SOC.

Entity behavior analytics: What are the top challenges for SecOps?


With many tools today, deployment and operations for behavioral analytics are time and resource intensive, in some cases requiring difficult-to-find data science skills.


The rigidity of detection rules can’t keep pace with the constantly evolving threat landscape.


The need to use multiple SecOps tools disrupts the workflow as analysts must switch between multiple screens to get the job done.

Common use cases for entity behavior analytics in the SOC

Insider threat detection

Behavioral change is a critical indicator of potential abuse by privileged users or unauthorized employee access. Behavior modeling enables organizations to continually learn how users behave, and identify changes that indicate malicious activity including sabotage, theft, or privilege misuse. Behavioral analytics for insider threat detection tracks activities such as what assets are accessed and how frequently a user accesses applications.

Breach detection

The growing number of threat categories and types has far exceeded the scope of predefined rules. Detection capabilities must continually learn and self-optimize to better combat today’s complex threats, such as zero-day exploits. Behavioral analytics improves visibility into noteworthy changes of entities, enabling quick and accurate incident identification. This includes improved identification of spoofed and compromised users, the creation of new super users, or brute-force access attempts.

Data access monitoring

Business-critical data is a key target for all walks of cybercriminals ranging from disgruntled employees to hacker groups. Behavioral analytics support real-time monitoring of critical data resources by tracking data movement. In light of the regulatory environment, behavioral analysis of data access also helps organizations comply with evolving data and privacy regulations such as GDPR, PCI- DSS, and HIPAA.