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FraudSense
ML-powered fraud detection with ensemble models
Machine learning fraud detection using ensemble models trained on West African mobile money patterns. GraphSAGE GNN over Neo4j Party Graph detects collusion rings and synthetic identity fraud.
Key Capabilities
Ensemble ML models (XGBoost + LSTM + GraphSAGE GNN)
Trained on real West African mobile money fraud patterns
Collusion ring detection via graph neural networks
Synthetic identity fraud detection
Real-time scoring with sub-50ms latency
Model versioning and A/B testing via MLflow
API Endpoints
api.ominihub.com
POST/v1/fraudsense/predict
GET/v1/fraudsense/model/status
POST/v1/fraudsense/feedback
GET/v1/fraudsense/graph/{accountId}