BackHackers AI uses ensemble ML models to detect fraudulent transactions with 99.7% accuracy — in under 80ms.
Monitor every transaction live — block fraud before funds move.
7-day trend analysis, country heatmap and device risk breakdown.
Full audit trail of every analyzed transaction with risk scores and signals.
| TXN ID | Amount | Type | Country | Device | Score | Verdict | Signals | Time |
|---|---|---|---|---|---|---|---|---|
| ⏳ Loading transaction logs… | ||||||||
Enter details and watch the ML engine evaluate risk in real time. Powered by live backend API.
Quick scenarios:
XGBoost, LightGBM, and deep neural networks work in parallel — each model votes, a meta-learner decides.
Redis-cached feature stores and vectorized inference deliver decisions before users notice latency.
SHAP values and LIME explanations surface every signal — full audit trail for compliance teams.
Full searchable audit trail of every transaction — filter by verdict, score, country, and more.
7-day trend charts, country risk heatmaps, device breakdown — all powered by real backend data.
Anomaly detection with autoencoders catches novel attack patterns never seen in training data.