Oliver Kieselbach
25dc67ff69
H1 OAuth redirect_uri host allowlist (loopback always; hosted clients
via MCP_ALLOWED_REDIRECT_HOSTS, default Anthropic/OpenAI/Google).
Closes auth-code-leak through unvalidated /oauth/callback.
M1 followNextLink rejects continuation paths that don't equal the
tool's own basePath - closes cross-tool path substitution.
M2 strict UUID schema on every sessionId input - blocks WHATWG-URL
path-normalization attacks via /api/sessions/{id}.
M3 rate-limit moved after access-check (Step 1) - forged JWTs cannot
drain a real user's per-minute budget.
L1 get_rule_stats uses pickGlobalOrTenantPath like every other tool.
L3 5xx response bodies no longer relayed to the caller; structured
4xx errors keep their detail.
L4 hardcoded CLIENT_ID fallback removed - module throws on boot if
AUTOPILOT_ENTRA_CLIENT_ID is unset.
Adds security-guards.test.ts (32 unit tests) covering all guards.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Autopilot Monitor
Advanced monitoring and troubleshooting solution for Windows Autopilot deployments. Gain full visibility into every enrollment session with a detailed event timeline, fleet health dashboards, and session reporting. Define custom analysis rules to automatically detect issues and gather rules to collect targeted evidence. Retrieve diagnostics packages on demand, configure agent settings like auto-reboot behavior and automatic timezone adjustment — all managed centrally from the web dashboard.
Private Preview
Autopilot Monitor is currently running as a Private Preview. Visit autopilotmonitor.com to request access and learn more.
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.