Multi-Rail Dataset Volume
$28.10M
10,000 Settlement Txs (5 Rails)
FinPulse-ML ROC-AUC
0.9854
+0.2140 vs Legacy Static Rules
Precision-Recall AUC (PR-AUC)
0.9142
+0.6185 Lift on Imbalanced Fraud
False Positive Rate Reduction
-88.4%
0.78% FPR vs 6.72% Legacy Rules
Calibration Brier Score
0.0108
Platt-Scaled Meta-Stacker
ROC Curve Comparison (Held-Out Test Split: 2,500 Txs)
Exact Trapezoidal AUC
FinPulse-ML Ensemble
GBDT Classifier
Isolation Forest
Legacy Rule Engine
Precision-Recall Curve (5.4% Fraud Base Rate)
Average Precision (AP)
FinPulse-ML Ensemble
GBDT Classifier
Isolation Forest
Legacy Rule Engine
Multi-Rail Settlement Cohort Telemetry (Test Split)
Cross-Rail Generalization
Payment Rail Tx Count Volume (USD) Fraud Rate FinPulse Recall FinPulse FPR Legacy Rule FPR
Recall by Coordinated Attack Typology
FinPulse vs Static Rules
Comprehensive Model Benchmark Matrix (2,500 Held-Out Test Txs)
Chronological Split
Model Architecture ROC-AUC PR-AUC Max F1 Prec @ 90% Rec FPR @ Opt F1 Brier Score
Ensemble Confusion Matrix & Operational Impact
Global Feature Importance (GBDT Split Gain + Permutation AUC Drop)
11 Engineered Features
Sampled Benchmark Decisions: High-Risk Fraud Caught vs High-Value Legitimate Approved
Explainable AI Audit Trail
Tx ID Payment Rail Corridor Amount (USD) Ground Truth Typology Legacy Rule Score FinPulse-ML Prob Primary Attribution Driver
Real-Time Transaction Risk & Local SHAP Attribution Simulator
Sub-2ms Inference Engine
Transaction Amount (USD)$2,940
Rolling 1h Velocity Z-Score2.45 σ
Rolling 24h Velocity Z-Score3.15 σ
Counterparty PageRank Fan-In Burst0.72
Benford First-Digit KL Divergence0.64
AML Structuring Proximity ($3k/$10k)0.91
Merchant Category (MCC) Entropy1.35 bits
Cross-Border Corridor Risk0.42
Payment Settlement RailUSDC_Solana
Device Fingerprint / ASN Geo-MismatchNo (0)
FinPulse-ML Ensemble Probability
94.8%
BLOCK — SMURFING RING DETECTED
Legacy Static Rule Score
28.0%
MISSED BY STATIC $5K RULE
Local SHAP-Style Marginal Log-Odds Feature Attributions
Real-Time Waterfall