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_tools
windows_first
missing_linux_example
Summary
The documentation page demonstrates a Windows bias by focusing exclusively on Microsoft Defender XDR and its integration with Microsoft Sentinel, both of which are primarily Windows-centric security solutions. The event tables and examples reference Windows-specific concepts (e.g., Windows Defender Antivirus, registry events, DLL loading, Active Directory), and there is no mention of Linux-specific security events, connectors, or integration patterns. All examples and instructions are tailored to Windows environments, with no guidance for Linux endpoints or cross-platform scenarios.
Recommendations
  • Add explicit guidance and examples for integrating Linux endpoints with Microsoft Sentinel, including supported connectors and event types.
  • Include sample KQL queries and event tables relevant to Linux systems (e.g., Syslog, auditd, Linux authentication events) alongside Windows examples.
  • Document any limitations or differences in data ingestion and incident management for Linux versus Windows endpoints.
  • Reference Linux security tools and patterns (such as SELinux, auditd, or Linux Defender agents) where applicable.
  • Ensure parity in instructions for configuring connectors and verifying data ingestion from both Windows and Linux sources.
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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
2025-08-17 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