A decision-theoretic framework that routes transactions by evaluating not just risk, but the uncertainty of its models and the novelty of the behavior.
Live Transactions Processed
PCA Feature Space
Bootstrap Evaluation
Asymmetric Cost Actions
Calculates the calibrated fraud probability from an XGBoost bootstrap ensemble. Higher values indicate stronger fraud signals.
Measures disagreement across 5 bootstrap models via standard deviation. High variance indicates low model confidence.
An Isolation Forest trained purely on legitimate behavior flags zero-day exploits and totally unseen data profiles.
Simulate transactions, inject extreme scenarios, and audit the cost simulations.
Initialize Dashboard Subsystem