Versions:

  • 1.9.0

EntraChecks is a read-only Microsoft Cloud compliance assessment toolkit published by NamelessSaint, designed to evaluate security and compliance posture across Microsoft 365, Azure, and Entra environments. The software executes a broad set of read-only security and compliance checks against a target tenant and then generates analyst-friendly reports in HTML, CSV, JSON, and Excel formats, making results accessible to both technical assessors and compliance stakeholders. Its assessment modules cover Conditional Access configuration, multi-factor authentication (MFA), Identity Protection, Intune, Microsoft Secure Score, Defender for Cloud regulatory compliance, Azure Policy, Microsoft Purview Compliance Manager, on-premises Active Directory, hybrid identity correlation, and SOC 2 readiness. This range of coverage positions EntraChecks within the security auditing, compliance assessment, and cloud configuration review category, and it is suited to use cases such as pre-audit preparation, security posture reviews, gap analysis against regulatory frameworks, and hybrid identity environment evaluation. A defining characteristic of the tool is that all checks are strictly read-only and never modify the tenant under assessment, which allows it to be run safely in production environments without risk of unintended changes. EntraChecks is offered in two interface forms: a command-line interface powered by a PowerShell engine, and a desktop application built as a thin Tauri shell that wraps the same PowerShell engine, ensuring consistent check logic and results across both usage modes. The current version is 1.9.0, and the catalog lists one version of the software in total. Organizations and analysts responsible for Microsoft cloud governance, risk, and compliance can use EntraChecks to consolidate findings from multiple Microsoft security and compliance services into structured, exportable reports that support remediation planning, audit evidence collection, and ongoing monitoring of tenant configuration against expected security baselines.

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