Oliver Kieselbach 4e21ae3008 security: enforce admin authorization, fix error leakage, prevent injection
- H1: Require TenantAdmin or GalacticAdmin for mutative tenant endpoints
  (DeleteSession, MarkSessionFailed, UpdateTenantConfiguration,
  AnalyzeRules CRUD, GatherRules CRUD)
- M1: Add EnsureValidGuid validation to TenantOffboardFunction to
  prevent OData injection via tenantId route parameter
- M2: Remove ex.Message from error responses in UsageMetrics,
  PlatformUsageMetrics, TriggerMaintenance, TenantOffboard,
  ReseedFromGitHub to prevent internal error leakage
- M4: Use requireGalacticAdmin on ProtectedRoute and server-derived
  user.isGalacticAdmin instead of localStorage for admin-configuration
- N1: Add 1-second Regex timeout to agent GatherRuleExecutor and
  ImeLogTracker to prevent ReDoS from malicious patterns

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-28 20:46:50 +01:00
2026-02-10 02:37:31 +01:00
2026-02-23 22:06:03 +01:00
2026-02-05 06:14:41 +01:00
2026-02-05 06:14:41 +01:00
2026-02-24 11:50:31 +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

MIT License — see LICENSE for 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%