Sad Tux - Windows bias detected
This page contains Windows bias

About This Page

This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.

Bias Analysis

Detected Bias Types
windows_first
windows_tools
missing_linux_example
Summary
The documentation page demonstrates a Windows bias by focusing primarily on Microsoft Sentinel usage within Azure and Microsoft Defender portals, both of which are Windows-centric environments. There is a lack of explicit Linux or cross-platform setup instructions or examples, and references to tools and workflows are oriented toward the Microsoft ecosystem. While Linux is mentioned in passing (e.g., 'Linux or Windows hosts'), there are no concrete Linux-specific instructions, examples, or troubleshooting tips. The documentation assumes usage of Azure Machine Learning and does not address local or non-Windows Jupyter environments in detail.
Recommendations
  • Add explicit instructions and examples for running the notebook in local Jupyter environments on Linux, including installation steps and troubleshooting tips.
  • Provide Linux-specific examples or screenshots where relevant, such as setting up Python environments or configuring MSTICPy on Linux systems.
  • Include parity in tool recommendations (e.g., mention Linux package managers like apt or yum for Python installation alongside Anaconda).
  • Ensure that references to portals or environments clarify cross-platform compatibility and, where possible, provide alternatives for Linux users.
  • Highlight any differences or additional steps required for Linux users, such as file path conventions or permissions.
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Scan History

Date Scan Status Result
2026-01-14 00:00 #250 in_progress Clean Clean
2026-01-13 00:00 #246 completed Clean Clean
2026-01-11 00:00 #240 completed Biased Biased
2026-01-10 00:00 #237 completed Biased Biased
2026-01-09 00:34 #234 completed Biased Biased
2026-01-08 00:53 #231 completed Biased Biased
2026-01-06 18:15 #225 cancelled Clean Clean
2025-09-16 00:00 #113 completed Clean Clean
2025-09-15 00:00 #112 completed Clean Clean
2025-09-14 00:00 #111 completed Clean Clean
2025-09-13 00:00 #110 completed Clean Clean
2025-09-12 00:00 #109 completed Clean Clean
2025-09-11 00:00 #108 completed Clean Clean
2025-08-17 00:01 #83 cancelled Clean Clean
2025-07-13 21:37 #48 completed Clean Clean
2025-07-12 23:44 #41 cancelled Biased Biased

Flagged Code Snippets