Discover how User and Entity Behavior Analytics (UEBA) can help identify missed Indicators of Compromise (IoCs) and enhance your organization’s incident response capabilities. Learn why UEBA is the most appropriate solution compared to FIM, SASE, CSPM, and EAP.
Table of Contents
Question
IoCs were missed during a recent security incident due to the reliance on a signature-based detection platform. A security engineer must recommend a solution that can be implemented to address this shortcoming. Which of the following would be the most appropriate recommendation?
A. FIM
B. SASE
C. UEBA
D. CSPM
E. EAP
Answer
The most appropriate recommendation to address the shortcoming of missed IoCs (Indicators of Compromise) during a recent security incident due to the reliance on a signature-based detection platform is:
C. UEBA (User and Entity Behavior Analytics)
Explanation
UEBA is a cybersecurity solution that uses machine learning and behavioral analytics to detect anomalies and potential threats in user and entity behavior. Unlike signature-based detection, which relies on known patterns and rules, UEBA focuses on identifying deviations from normal behavior that may indicate a security incident or compromise.
By analyzing user and entity behavior across various data sources, such as network traffic, system logs, and user activities, UEBA can detect subtle changes and anomalies that signature-based solutions might miss. This approach helps in identifying advanced and previously unknown threats, including insider threats and zero-day attacks.
UEBA continuously learns and adapts to an organization’s environment, creating baselines for normal behavior and alerting security teams when deviations occur. This enables faster detection and response to potential security incidents, reducing the risk of missed IoCs.
The other options mentioned are not as suitable for addressing the specific issue of missed IoCs:
- FIM (File Integrity Monitoring): Focuses on detecting changes to critical files and configurations but does not directly address the detection of behavioral anomalies.
- SASE (Secure Access Service Edge): A cloud-based security framework that combines network security functions and access control but does not primarily focus on behavior-based threat detection.
- CSPM (Cloud Security Posture Management): Helps manage and monitor the security posture of cloud environments but does not specialize in detecting behavioral anomalies.
- EAP (Extensible Authentication Protocol): A framework for authentication and secure communication but does not directly address the detection of missed IoCs.
In conclusion, implementing a UEBA solution would be the most appropriate recommendation to address the shortcoming of missed IoCs caused by the reliance on a signature-based detection platform.
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