Building SolSecureAI: A Solana-Powered AI Security Testing Platform

A developer built SolSecureAI, a crowdsourced AI red-teaming platform that uses Solana smart contracts to transparently manage security rewards for finding LLM vulnerabilities such as prompt injection. The system pairs Rust/Anchor smart contracts for fund escrows and on-chain challenge verification with a Node.js backend that routes prompt payloads into target LLMs over isolated proxies and WebSocket sessions, plus a Next.js frontend. The project is live on Solana Devnet and fully open-source.

Hi DEV Community 👋 I wanted to share a project I've been working on for the Colosseum Hackathon called SolSecureAI. With the explosive rise of Large Language Models LLMs , production vulnerabilities like prompt injection are becoming critical security vectors. Traditional automated scanners often miss these flaws because security auditing fundamentally requires human ingenuity. To solve this, I built a crowdsourced AI red-teaming platform that leverages blockchain smart contracts to manage security rewards transparently. 🛠️ The Tech Stack • Smart Contracts: Written in Rust using the Anchor framework to handle fund escrows and on-chain challenge verification. • Backend: Node.js managing isolated proxy architecture and live WebSocket sessions to route prompt payloads into target LLMs. • Frontend: Next.js optimized for a smooth, real-time playground interface. • Deployment: Hosted seamlessly via Railway. 🏗️ How the Architecture Works 🚀 Try It & Open Source The platform is currently live on Solana Devnet, and the entire repository is fully open-source because I believe security tools should be verifiable by the community. • Live Demo: https://solsecureai.up.railway.app https://solsecureai.up.railway.app • GitHub Repository: github.com I would love to get your feedback on the verification model, the Node-to-Rust communication architecture, or any suggestions you have for expanding decentralized AI auditing