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
⚠️ powershell_heavy
⚠️ missing_linux_example
Summary:
The documentation demonstrates a Windows bias in several areas. Windows and Windows Server are mentioned explicitly as examples for encryption in transit (SMB 3.0), with no mention of Linux equivalents. There are references to Windows-specific protocols and tools (e.g., SMB 3.0, PowerShell in blog post titles), and Linux is only mentioned in passing or as an afterthought in linked blog posts. There are no Linux-specific examples or guidance for common scenarios, such as encrypting data in transit or at rest, or for managing secrets. The documentation assumes familiarity with Windows tools and patterns, and does not provide parity for Linux users.
Recommendations:
  • Include Linux-specific examples alongside Windows examples for encryption in transit (e.g., mention NFSv4.1 with Kerberos, SSH/SCP/SFTP, or SMB 3.0 on Linux).
  • Provide explicit guidance for Linux VMs regarding disk encryption (e.g., using Azure Disk Encryption with dm-crypt).
  • When referencing PowerShell or Windows tools, also reference equivalent Linux command-line tools or scripts (e.g., Azure CLI, Bash, Python SDK).
  • Add Linux-focused best practices for managing secrets, such as using Key Vault with Linux applications and integration patterns.
  • Ensure that blog post references and documentation examples are balanced, highlighting both Windows and Linux attack detection and mitigation scenarios.
  • Review all sections for implicit Windows-first language and update to be platform-neutral or to provide equal coverage for Linux.
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Scan History

Date Scan ID Status Bias Status
2025-09-07 00:00 #104 completed ✅ Clean
2025-08-07 00:00 #73 completed ❌ Biased
2025-07-13 21:37 #48 completed ❌ Biased
2025-07-09 13:09 #3 cancelled ✅ Clean
2025-07-08 04:23 #2 cancelled ❌ Biased