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:
⚠️ powershell_heavy
⚠️ missing_linux_example
⚠️ windows_tools
Summary:
The documentation provides only a PowerShell script example for programmatically accessing audit logs, with no equivalent example for Linux or cross-platform environments (such as Bash/cURL or Python). PowerShell is primarily associated with Windows, and while it is available on Linux, it is not the default or most common scripting environment for Linux users. No mention is made of alternative tools or approaches more familiar to Linux administrators.
Recommendations:
  • Add a Bash/cURL example for querying the Microsoft Graph API to retrieve audit logs, demonstrating how to authenticate and download logs using common Linux tools.
  • Provide a Python script example, as Python is widely used and cross-platform.
  • Explicitly mention that PowerShell Core is available on Linux and macOS, and provide installation instructions or a note for non-Windows users.
  • Reorder or supplement the scripting section to present both Windows (PowerShell) and Linux (Bash/cURL or Python) options, or present a cross-platform solution first.
  • Reference CLI tools (such as Azure CLI or Microsoft Graph CLI) if available, and provide examples for those as well.
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Scan History

Date Scan ID Status Bias Status
2025-09-16 00:00 #113 completed ❌ Biased
2025-09-15 00:00 #112 completed ❌ Biased
2025-09-14 00:00 #111 completed ❌ Biased
2025-09-13 00:00 #110 completed ❌ Biased
2025-09-12 00:00 #109 completed ❌ Biased
2025-09-11 00:00 #108 completed ❌ Biased
2025-09-09 00:00 #106 completed ❌ Biased
2025-08-14 00:01 #80 in_progress ❌ Biased
2025-07-13 21:25 #47 cancelled ✅ Clean
2025-07-13 21:17 #46 cancelled ✅ Clean
2025-07-13 20:48 #44 cancelled ❌ Biased
2025-07-13 20:32 #43 cancelled ❌ Biased
2025-07-09 13:09 #3 cancelled ✅ Clean
2025-07-08 04:23 #2 cancelled ❌ Biased

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