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
missing_linux_example
Summary
The documentation page describes Azure threat protection services in a platform-neutral way, mentioning support for both Windows and Linux in some places (e.g., Defender for Servers). However, there is a subtle Windows bias: Windows is mentioned first when listing supported operating systems, and there are no explicit Linux-specific examples, tools, or guidance. No PowerShell or Windows-only tooling is referenced, but the absence of Linux command-line or integration examples (such as bash, systemd, or Linux security tools) means Linux users may not see their workflows represented.
Recommendations
  • When listing supported platforms, alternate the order or explicitly state parity (e.g., 'Windows and Linux' vs. 'Linux and Windows').
  • Add Linux-specific examples, such as how to enable or configure Defender for Cloud features on Linux VMs (e.g., using bash scripts, cloud-init, or Linux agents).
  • Include references to Linux security tools or integration patterns (e.g., auditd, SELinux, iptables) where relevant.
  • Provide sample workflows or remediation steps for both Windows and Linux environments.
  • Ensure that documentation links and next steps include Linux-focused guides or troubleshooting resources.
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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 Clean Clean
2026-01-06 18:15 #225 cancelled Clean Clean
2025-09-09 00:00 #106 completed Clean Clean
2025-08-17 00:01 #83 cancelled Clean Clean
2025-07-13 21:37 #48 completed Biased Biased
2025-07-12 23:44 #41 cancelled Biased Biased