Document Details
Documentation Government Plan Identity
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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
Bias Types:
⚠️
windows_first
⚠️
windows_tools
⚠️
missing_linux_example
Summary:
The documentation page demonstrates a Windows-centric bias, particularly in sections discussing legacy authentication and infrastructure. It exclusively references Windows-based technologies such as Active Directory Domain Services, ADFS, and Kerberos/NTLM, and provides deployment guidance only for Windows Server environments. There are no examples or guidance for Linux-based identity solutions, nor are cross-platform alternatives mentioned. The documentation assumes the use of Windows tools and patterns, omitting Linux or open-source equivalents.
Recommendations:
- Include examples and guidance for integrating Linux-based identity solutions (e.g., using Samba for Active Directory compatibility, or integrating with LDAP/Kerberos on Linux).
- Mention and provide links to documentation for cross-platform identity management tools and patterns, such as Azure AD authentication libraries for Linux and open-source stacks.
- When discussing domain controllers and federation services, acknowledge that Linux-based solutions (such as FreeIPA, Samba AD DC, or Shibboleth for federation) can be used in some scenarios, and provide high-level guidance or references.
- Ensure that any PowerShell or Windows-specific instructions are accompanied by equivalent Bash/CLI or Linux-native examples where possible.
- Explicitly state the platform assumptions in each section and clarify whether the guidance is Windows-only or applicable to other operating systems.
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Scan History
| Date | Scan ID | Status | Bias Status |
|---|---|---|---|
| 2025-08-17 00:01 | #83 | in_progress | ✅ Clean |
| 2025-07-13 21:37 | #48 | completed | ✅ Clean |
| 2025-07-09 13:09 | #3 | cancelled | ✅ Clean |
| 2025-07-08 04:23 | #2 | cancelled | ❌ Biased |