// PROJECT DOSSIER

CHAIN SENTINEL

Autonomous Attack Simulation Platform for Supply Chain & WMS Security

Completed Python FastAPI Docker MQTT MITRE ATT&CK AI/LLM

Cloud-based autonomous security testing platform engineered for WMS, IoT, and MQTT infrastructures. Executes 42+ automated vulnerability controls with MITRE ATT&CK-mapped AI analysis. Presented at the 12th International MIS Conference (IMISC 2025).

Problem
  • Warehouse Management Systems (WMS) and IoT/MQTT infrastructures are rapidly expanding but remain critically under-tested for security vulnerabilities.
  • Traditional penetration testing is manual, time-consuming, and fails to cover the breadth of attack surfaces in interconnected supply chain systems.
  • Organizations lack automated tools specifically designed for WMS/IoT security assessment.
Solution
  • Chain Sentinel automates the entire security assessment lifecycle — from network discovery to vulnerability detection to AI-powered risk analysis.
  • 42+ autonomous security controls specifically engineered for WMS, IoT, and MQTT attack surfaces.
  • MITRE ATT&CK framework mapping provides industry-standard threat classification.
  • Multi-provider AI integration (Claude, GPT, Gemini, Ollama) generates executive-level security reports with attack chain analysis.
Backend:Python 3.11 · FastAPI · Uvicorn
Scanning Engine:Nmap · Custom TCP/UDP Scanner · Banner Grabbing
Protocols:MQTT (Paho) · HTTP/HTTPS · WebSocket
AI Integration:Claude API · OpenAI API · Google Gemini · Ollama (Local)
Framework:MITRE ATT&CK v14
Containerization:Docker · Docker Compose
Frontend:HTML · Tailwind CSS · Chart.js · JavaScript
Database:SQLite (Scan Results & Findings Storage)
Target Infrastructure
Network Discovery
Port Scan & Service Detection
42+ Autonomous Controls
Findings & CVSS Scoring
AI Analysis Engine
MITRE ATT&CK Mapping
Executive Report
"Evaluation of Supply Chain Attacks and System Vulnerabilities from a Hacking Perspective"
12th International MIS Conference (IMISC) — October 2025
Chain Sentinel served as the practical implementation component of this academic research.