AI-Driven
Fraud Detection
How GetRwanda built a real-time fraud shield achieving 99.9% accuracy for a pan-African mobile money operator processing 4M+ daily transactions.
Detection Accuracy
99.9%
Fraud identified before transaction completes
False Positives
-87%
Reduction in legitimate transactions flagged
Decision Speed
120ms
Average response time per transaction
The Challenge
Fraud Scaling Faster Than Human Review
A leading pan-African mobile money platform was processing 4 million daily transactions across 6 countries. Legacy rule-based fraud systems were blocking legitimate payments while missing sophisticated coordinated attacks.
- warningRule-based system generating 12,000+ false-positive blocks per day, frustrating customers.
- warningSIM-swap and account-takeover fraud costing $2.3M per quarter.
- warningManual review team overwhelmed — average review time of 4 hours per flagged case.
The AI Solution
Real-Time Fraud Intelligence Platform
Real-Time Transaction Scoring
ML model scores every transaction against 340+ behavioural features in under 120ms, blocking suspicious activity instantly.
Network Graph Analysis
Graph neural network maps relationships between accounts, devices, and locations to surface coordinated fraud rings.
Adaptive Learning Engine
Model retrains weekly on new fraud patterns so accuracy improves continuously as attackers evolve tactics.
Protect your platform with AI
Let's build an intelligent fraud defence system tailored to your transaction patterns and risk appetite.