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 is generally platform-neutral, focusing on Azure's encryption features and models. However, there is a minor Windows bias in the 'SMB encryption' section, which references Windows Server and desktop versions exclusively, without mentioning Linux SMB client support or alternatives. Additionally, examples and tool references throughout the page do not provide parity for Linux/macOS users where relevant (e.g., no mention of Linux SMB client encryption or cross-platform VPN client options).
Recommendations
  • In the 'SMB encryption' section, mention that Linux SMB clients (such as smbclient or mount.cifs) can also connect to Azure Files and support SMB encryption, with links to relevant documentation.
  • Where VPN client options are discussed, clarify that Linux and macOS clients can connect to Azure VPN gateways using standard IPsec/IKE or OpenVPN protocols, and provide links to cross-platform setup guides.
  • Ensure that any references to client-side encryption tools or methods include cross-platform options, not just those available on Windows.
  • If command-line examples or tool references are added in future updates, provide both Windows (PowerShell) and Linux/macOS (bash, CLI) examples.
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Scan History

Date Scan Status Result
2026-01-17 00:00 #262 completed Biased Biased
2026-01-14 00:00 #250 in_progress Biased Biased
2026-01-13 00:00 #246 completed 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
2025-08-17 00:01 #83 cancelled Clean Clean
2025-07-13 21:37 #48 completed Biased Biased
2025-07-12 23:44 #41 cancelled Biased Biased