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 demonstrates a Windows bias by referencing Windows-specific security features (BitLocker, credential protection, malware prevention on Windows) before Linux equivalents, and by listing Windows guest OS versions before Linux in prerequisites. There are no Linux-specific examples or mentions of Linux security tooling (e.g., LUKS, dm-crypt) in the context of vTPM usage, and the security benefits are described primarily in terms of Windows scenarios.
Recommendations
  • Add explicit examples of vTPM usage for Linux VMs, such as enabling disk encryption with LUKS or using vTPM for secure boot attestation in Linux.
  • List Linux guest OS support before or alongside Windows in prerequisites to avoid Windows-first ordering.
  • Describe security benefits for Linux workloads (e.g., protection of SSH keys, kernel module verification) in addition to Windows-specific features.
  • Reference Linux migration tools and document any vTPM-related caveats for Linux VM migration.
  • Include screenshots or step-by-step instructions for configuring vTPM on Linux VMs, if there are any OS-specific steps.
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Scan History

Date Scan Status Result
2026-01-14 00:00 #250 in_progress Biased Biased
2026-01-13 00:00 #246 completed Biased Biased
2026-01-12 00:00 #243 cancelled Biased Biased
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
2025-08-22 00:01 #88 completed Biased Biased
2025-07-22 00:01 #57 completed Clean Clean
2025-07-13 21:37 #48 completed Biased Biased
2025-07-09 13:09 #3 cancelled Clean Clean
2025-07-08 04:23 #2 cancelled Biased Biased