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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.

Path 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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Guided walkthrough
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
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