About Us
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Endpoint detection and response (EDR) is about monitoring, detecting, and responding to various cybersecurity threats in endpoints, such as computers, servers, mobile devices, and other systems. On the other hand, user and entity behaviour analytics (UEBA) is about detecting suspicious or abnormal activities in a network by users or entities (devices, applications, etc.) that might be a security threat, such as malicious insiders, APTs, and so on.
This image represents the complex yet essential monitoring framework of User and Entity Behavior Analytics (UEBA). The interconnected nodes and pathways signify the intricate web of user actions, system processes, and machine interactions within an enterprise network. Each connection illustrates how UEBA maps normal behavior patterns for every user and device, using AI to detect even the most subtle deviations. Just like this layered visual of data flow, UEBA continuously observes login attempts, data access, device movements, and network communications to create dynamic behavioral profiles. The graphic underscores how UEBA identifies threats not through static rules, but through the behavioral context — enabling detection of insider threats, account takeovers, and unusual system activity with precision.
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User and Entity Behavior Analytics (UEBA) is a cutting-edge cybersecurity solution that leverages advanced machine learning, artificial intelligence, and statistical analysis to detect anomalies in the behavior of users and devices within an organization’s network. Unlike traditional security solutions that rely solely on predefined rules or known signatures, UEBA focuses on understanding what constitutes normal behavior for each user or entity — and flags activities that deviate from that baseline.
By continuously monitoring login times, file accesses, data transfers, and network interactions, UEBA builds comprehensive behavior profiles. When unusual patterns arise — such as a user accessing sensitive files at odd hours or a device suddenly communicating with unfamiliar endpoints — the system raises an alert, often identifying threats that would go unnoticed by signature-based defenses.
This makes UEBA especially powerful in detecting insider threats, compromised credentials, data exfiltration attempts, and advanced persistent threats (APTs). It works seamlessly with SIEM, SOAR, and other security systems to enrich contextual intelligence and prioritize alerts based on risk.
🔍 Key Benefits of UEBA:
Early Threat Detection: Identifies suspicious behavior before it escalates into a breach.
Insider Threat Mitigation: Detects misuse by authorized users or compromised accounts.
Entity-Aware Monitoring: Goes beyond users to track system and device behavior.
Contextual Intelligence: Delivers high-fidelity alerts by understanding the full user journey.
Reduced False Positives: Leverages behavioral baselining to reduce noise in security operations.