Project 13: Incident Detection with SIEM
Learn how to use Security Information and Event Management (SIEM) tools for log analysis, anomaly detection, and security monitoring.
Project 13: Incident Detection with SIEM
Learn how to use Security Information and Event Management (SIEM) tools for log analysis, anomaly detection, and security monitoring.
Incident Detection with SIEM
Overview
Security Information and Event Management (SIEM) platforms play a critical role in modern cybersecurity by centralizing log collection, analyzing security events, and detecting potential threats. This project introduces students to using SIEM tools for log analysis, anomaly detection, and real-time security monitoring.
What You Will Learn
- Collecting and analyzing security logs
- Detecting anomalies and security threats using SIEM
- Correlating events from multiple sources
- Configuring alerts and dashboards for security monitoring
Hands-On Learning
Students will gain experience using:
- SIEM platforms (Wazuh, Splunk, or ELK Stack)
- Log analysis tools for detecting suspicious activity
- Threat intelligence feeds for real-time security monitoring
- Custom alert rules for detecting security incidents
đź”— Continue to the hands-on lab for full instructions!
Project 13: Incident Detection with SIEM
Incident Detection with SIEM Overview Security Information and Event Management (SIEM) tools allow security teams to collect, analyze, and correlate security events across an organization’s IT infrastructure. This lab provides hands-on experience configuring and using SIEM platforms to detect security incidents and automate response mechanisms. What You Will Learn Setting up and configuring a SIEM platform (Wazuh, Splunk, or ELK Stack) Collecting and analyzing security logs Detecting anomalies and security threats using SIEM alerts Correlating security events from multiple sources Creating custom dashboards for real-time security monitoring Lab Instructions 1. Setting Up Your SIEM Environment You will need: ...