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🔐 Azure Sentinel SIEM Lab – Cybersecurity Portfolio

Welcome to my hands-on cybersecurity lab using Microsoft Sentinel.

This project simulates a brute-force attack scenario, collects and analyzes Windows Event Logs, builds custom visualizations in Workbooks, and sets up alert rules for security operations.


🎯 Objectives

  • Build a functional SIEM using Azure Sentinel
  • Collect logs from a Windows VM (Event ID 4624, 4625, 4740, etc.)
  • Detect failed and successful logins
  • Create alert rules for brute-force attacks
  • Visualize incidents in professional dashboards
  • Document detection and response steps

🧱 Lab Architecture

✅ Azure Virtual Machine (Windows 11) ✅ Microsoft Sentinel + Log Analytics Workspace ✅ Data Collection Rules (DCR) ✅ KQL Queries and Alert Rules ✅ Workbooks for Visualization ✅ Simulated Brute-Force Attack


📁 Project Structure

/initial
   ├── create_VM.png
   └── RDP_VM.png

/analytics
   ├── logsAnalytics-Query.png
   └── Analytics-Rule-BruteForce.png

/incidents
   └── Incident-Details-Summary.png

/workbook
   ├── Log-Analytics-Workspace.png
   ├── Create-Workbook.png
   ├── Workbook-Resource-Settings.png
   ├── Workbook-FailedLogins-Chart.png
   └── Workbook-SuccessfulLogins-Chart-and-Incidents-Grid.png

/automation
   └── Automation-Rule.png

📊 Key Visuals

  • Number of failed/successful logins (KQL)
  • Account lockouts by time
  • Alert breakdown by severity
  • Active incidents table
  • Custom dashboards using Grid Layout

🛠️ Tools & Technologies

  • Azure Portal
  • Microsoft Sentinel
  • Log Analytics (KQL)
  • Azure Monitor Agent
  • PowerShell / RDP for simulation
  • GitHub for documentation

📸 Screenshots

All screenshots from the lab setup and visualizations are stored in the structured folders above for clarity and traceability.


👤 Contact

Melissa Jahani 📧 melissajahani@gmail.com 🔗 LinkedIn 🔗 GitHub


This lab demonstrates real-world SIEM setup and detection logic. It is part of my cybersecurity portfolio for entry-level Security Analyst or SOC Analyst positions.

📆 Feel free to fork or reach out for collaboration!

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Cloud-native SIEM lab demonstrating detection rules, KQL analytics, and workbook dashboards in Microsoft Sentinel.

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