Model Registry
Detection Arsenal
3 production-ready models, dynamically loaded from config/models.ts. Filter, explore, and test each one live.
3 / 3 models
Transaction Fraud
TransactionGuard XGB+LGB
IEEE-CIS ensemble: XGBoost + LightGBM scoring real Vesta Corp transactions.
PIPELINE ROLE
Is this TRANSACTION fraudulent?
XGBoostLightGBMSHAPscikit-learnFastAPI
~0.95+
Ensemble AUC
XGB + LGB
Models
Structured / CSV data
Test Model
Anomaly Detection
AnomalyNet Hybrid
Hybrid Isolation Forest + Keras Autoencoder — zero-label unsupervised detection.
PIPELINE ROLE
Does this transaction look STATISTICALLY unusual?
IsolationForestKerasTensorFlowRobustScalerscikit-learnFastAPI
~0.97
Hybrid AUC
~0.88
IsoForest AUC
Structured / CSV data
Test Model
Account Takeover
BehaviourGuard LSTM
GBM + LSTM sequence model — catches account takeover by detecting USER behaviour shifts.
PIPELINE ROLE
Is this USER behaving like THEMSELVES?
GradientBoostingKeras LSTMTensorFlowRobustScalerscikit-learnFastAPI
~0.91+
Ensemble AUC
~0.87
GBM AUC
Structured / CSV data
Test Model