Sentra

Rule-based compliance catches what it's told to look for. Sentra looks for intent: masked P2P crypto trading, structuring under CBN reporting thresholds (₦5M individual, ₦10M corporate), money mule sweeps, Ponzi schemes, romance scams and BEC attacks. It's built as microservices: a Go API gateway, a Rust risk engine, a Python AI service on Groq and Llama, and a React compliance dashboard.

What it does

• Intent detection for structuring, sweep fraud, masked P2P crypto and shadow-economy activity
• CBN reporting thresholds and account tier validation built in
• Multi-currency: NGN, USD, GHS, KES, ZAR, XOF/XAF, GBP, EUR, AED
• Rust scoring engine for fast risk evaluation
• LLM-generated explanations through Groq and Llama 3.2
• HMAC-SHA256 signed webhooks and per-key rate limiting
• 847 ms average end-to-end analysis

Built with

• Go
• Rust
• Python
• React
• TypeScript
• PostgreSQL
• Redis
• Docker
• Groq