A compliance officer is setting up a new system to monitor user activities within cloud applications to detect potential insider threats or compromised accounts. The system needs to analyze behavioral patterns, such as unusual login times, access to sensitive data outside normal working hours, or excessive downloads. Which security technology is best suited for this task?
- AData Loss Prevention (DLP)
- BUser and Entity Behavior Analytics (UEBA)
- CSecurity Information and Event Management (SIEM)
- DWeb Application Firewall (WAF)
Show answer & explanationAnswer & explanation
Correct answer: B. User and Entity Behavior Analytics (UEBA)
User and Entity Behavior Analytics (UEBA) specifically focuses on analyzing user and entity behavior patterns, identifying anomalies, and detecting deviations from normal activity to flag potential insider threats or compromised accounts. While SIEM collects logs, UEBA provides the specialized behavioral analysis.
Why the other options are wrong
- A. DLP prevents sensitive data from leaving the organization, not analyzing user behavior for threats.
- C. SIEM collects and correlates security logs, but UEBA provides the specialized behavioral anomaly detection.
- D. WAF protects web applications from common web-based attacks, not internal user behavior analysis.
User and Entity Behavior Analytics (UEBA)
A security technology that uses machine learning and statistical analysis to detect anomalous behavior by users and other entities (e.g., applications, devices) that may indicate a security threat, such as insider threats, targeted attacks, or compromised accounts.
- Analyzes behavioral patterns to establish baselines.
- Detects deviations from normal behavior.
- Identifies insider threats and compromised accounts.
Memory trick: UEBA: It's like a smart detective who knows your habits and spots when you act 'out of character'.