💡 Inspiration Coming from a Mechanical Engineering background, I’ve always been fascinated by "Factor of Safety" and structural integrity. In the world of Industry 4.0, I realized that the "structures" we build are now digital. I wanted to create a security platform that doesn't just look at code, but treats cloud infrastructure like a physical power plant—monitoring "strains" (threats) and "loads" (traffic) to prevent a total system collapse.
🛡️ What it does ASI-1 Industrial Threat Shield is an autonomous Zero-Trust platform designed for industrial cloud gateways. It uses Agentic AI to monitor live network telemetry, detect anomalies like SQL injections or Layer 7 DDoS attacks, and provides a "Triage Board" where users can drag-and-drop threats for the AI to autonomously quarantine and remediate.
🛠️ How we built it The platform is a full-stack masterpiece:
Frontend: Built with React.js, featuring a glassmorphism UI and a live Incident Triage Board.
Backend: Powered by FastAPI (Python) for high-performance data handling.
Intelligence: Integrated ASI:One (Fetch.ai) and specialized Agents (Threat Analyst & Vuln Scanner) to analyze logs in real-time.
Live Data: Implemented WebSockets for real-time telemetry streaming of CPU loads and connections.
Deployment: Hosted on Vercel (Frontend) and Render (Backend) with a MongoDB audit trail.
🚧 Challenges we ran into The biggest hurdle was "Flattening the Repository." Initially, the frontend was pushed as a Git Submodule, making it invisible to judges. I had to deep-dive into Git CLI to restructure the project for full visibility. Additionally, configuring CORS and WebSocket handshakes between two different cloud providers (Vercel and Render) taught me a lot about network security protocols.
🏆 Accomplishments that we're proud of I am incredibly proud of building a fully functional, live-deployed AI application from scratch. Seeing the ASI:One agent actually execute a "Fix" and update the Forensic Audit Trail in real-time felt like a massive win for a mechanical engineer entering the AI space.
📚 What we learned I learned that Agentic AI is the future of automation. Beyond just "Chatbots," agents can actually take actions. I also gained deep experience in full-stack deployment, environment variable management, and the importance of a clean, professional GitHub repository structure.
🚀 What's next for ASI-1 Industrial Threat Shield The next step is to integrate Hardware-in-the-loop (HIL). I want to connect ASI-1 to actual IoT sensors on a factory floor, allowing the AI to shut down physical valves or breakers if it detects a cyber-physical attack, truly merging Mechanical Engineering with AI Security.
Built With
- asi-one
- fastapi
- fetch-ai
- mongodb
- python
- react.js
- vercel
- websockets
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