Claude e3a99e519a Fix CVE version filtering to exclude already-fixed vulnerabilities
The FilterByVersion wildcard logic was treating CVEs with specific
versions in their CPE URI as affecting ALL versions. Now extracts the
version from the CPE 2.3 URI and compares it against the installed
version, so only truly relevant CVEs are shown.

Also adds missing CPE seed mappings for common Intune/Autopilot
managed software: Intune Management Extension, Company Portal,
ODBC/OLE DB drivers, Remote Desktop, Azure CLI.

https://claude.ai/code/session_01Kv2aAEVqbeFSsyPv7gU7pF
2026-03-28 18:03:29 +00:00
2026-03-28 05:42:08 +01:00
2026-02-10 02:37:31 +01:00
2026-03-27 20:59:05 +01:00
2026-03-20 08:12:09 +01:00
2026-03-28 10:29:06 +01:00
2026-03-17 18:24:01 +01:00
2026-03-26 07:02:33 +01:00

Autopilot Monitor

Advanced monitoring and troubleshooting solution for Windows Autopilot deployments.

Overview

Autopilot Monitor provides real-time tracking, intelligent diagnostics, and automated troubleshooting for Windows Autopilot enrollment processes. It consists of:

  • Bootstrap Script — PowerShell script deployed via Intune that starts monitoring early in the enrollment process
  • Monitoring Agent — Lightweight .NET application that collects telemetry and evidence during enrollment
  • Backend API — Azure Functions-based ingestion and processing pipeline
  • Web Dashboard — Next.js application for real-time monitoring and fleet analytics

Architecture

For detailed information about the system architecture, components, and data flow, see Architecture Documentation.

Documentation

Full documentation is available at autopilotmonitor.com/docs

License

This project uses a split licensing model:

  • MIT License — Agent (src/Agent/) and Shared library (src/Shared/) — unrestricted use on end-user devices
  • AGPL-3.0 — Backend (src/Backend/), Web Dashboard (src/Web/), and MCP Server (src/McpServer/) — server-side components remain open source

See LICENSE for full details.

S
Description
Windows Autopilot & Intune enrollment monitoring: live session timelines, fleet health, diagnostics, and an MCP server for AI-assisted troubleshooting.
Readme AGPL-3.0 60 MiB
Languages
C# 72.7%
TypeScript 25.7%
PowerShell 1%
JavaScript 0.5%