MuleTrace AI

Inspiration: Financial fraud systems today act after money is lost. We wanted to shift fraud prevention from reactive detection to proactive verification. MuleTrace AI was built to ensure that every transaction earns trust before execution.

What It Does: MuleTrace AI is a pre-transaction AI firewall that verifies the sender, payment gateway, and receiver before funds are transferred. It calculates a real-time trust score using AI and allows payments only if they meet a defined security threshold.

How We Built It: We developed a modular backend using Node.js and Express. Sender, gateway, and receiver risk signals are aggregated and analyzed through the Gemini API, which generates a structured trust score and decision.

Challenges We Ran Into: Integrating structured AI decision-making while maintaining deterministic trust rules required careful prompt engineering and response validation. Managing modular architecture and API integration was also technically demanding.

Accomplishments That We're Proud Of: We built a working AI-powered pre-transaction firewall that blocks risky transactions before funds move. The system demonstrates a practical zero-trust payment model.

What We Learned: We learned how to integrate generative AI into financial systems responsibly, design layered verification pipelines, and implement secure backend architecture.

What's Next for MuleTrace AI: Next, we plan to integrate real KYC/AML APIs, behavioral analytics, and deploy MuleTrace AI as a scalable security layer for fintech platforms.

Built With

• dotenv
• es-modules
• express-validator
• express.js
• google-gemini-api
• javascript
• node.js