- Lab
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Libraries: If you want this lab, consider one of these libraries.
- Security
Monitoring and Detection: User Behavior Analysis
In this lab, you’ll practice detecting anomalous user behavior using SIEM tools in a Linux environment. When you’re finished, you’ll have hands-on experience analyzing security events and generating reports on detected anomalies.
Lab Info
Table of Contents
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Challenge
Detecting Anomalous Account Activity Using SIEM Tools
In this challenge, you will use Kibana to detect abnormal account activity, including unauthorized privileged account changes and abnormal login times. This extended analysis will enhance your understanding of user behavior patterns and improve your anomaly detection skills.
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Challenge
Monitoring Sensitive Data Access and Identifying Suspicious Commands
In this challenge, you will use Kibana to detect unauthorized access to sensitive data and unusual commands that may indicate a security breach. In addition to detecting unauthorized access, you will also identify and analyze suspicious queries or commands that could indicate malicious activity. This includes detecting data exfiltration attempts or command execution patterns that suggest an insider threat or compromised account. You will also cross-reference these activities with prior anomalous login behaviors for a comprehensive analysis.
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Challenge
The Last Challenge
Welcome to the final challenge! This is your last chance to experiment in the environment. Clicking Finish Lab will end this little world that flittered into existence just for you.
Real skill practice before real-world application
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Turn time into mastery
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