User and Entity Behavior Analytics (UEBA)
Key Security Features
1Behavioral Anomaly Detection
2User and Entity Profiling
- UEBA solutions utilize machine learning algorithms to establish baseline behavior for users and entities. Deviations from established baselines are flagged as anomalies, allowing for the detection of potential security threats.
- UEBA builds profiles for users and entities based on their typical behavior, including login patterns, data access, and application usage. These profiles enable the system to identify activities that deviate from the norm.
- UEBA assigns risk scores to users and entities based on their behavior. Higher risk scores indicate potentially suspicious or malicious activities, helping security teams prioritize investigations and response efforts.
- UEBA solutions incorporate contextual analysis by considering additional factors such as time of day, location, and the sensitivity of accessed data. This contextual information enhances the accuracy of anomaly detection and reduces false positives.
Types of Security Solutions
Benefits and Role in Overall Cybersecurity Infrastructure
Advanced Threat Detection
Reduced False Positives
Insider Threat Mitigation
Continuous Monitoring and Adaptation
At the forefront of threat detection technology
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