- Lab
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Libraries: If you want this lab, consider one of these libraries.
- Cloud
- Security
Investigate a Security Incident in Azure
You’re acting as a security engineer monitoring an Azure environment. Microsoft Sentinel has flagged suspicious activity originating from a Windows virtual machine (VM). Your task is to investigate the alerts, determine the nature of the activity, and respond appropriately using Sentinel’s built-in tools. You'll leverage KQL to parse login data, compare behavioral patterns between users, and automate a response to the potential threat.
Lab Info
Table of Contents
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Challenge
Investigate anomalous sign-in activity using Azure security analytics
- Analyze incident data in Microsoft Sentinel to identify signs of suspicious user behavior.
- Compare activity patterns across user accounts to differentiate between legitimate and malicious access.
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Challenge
Validate a suspected security incident by analyzing authentication events
- Use filtering and pattern recognition techniques to assess login successes and failures.
- Identify timing anomalies and behavioral clues that help determine intent and authenticity.
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Challenge
Implement and verify an automated response to streamline future investigations
- Configure automation to document a response and close the incident.
- Test alert rule logic and detection parameters to ensure proper incident lifecycle handling.
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