The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection.

Mastercard's AI-powered fraud detection system uses risk-scoring and behavioral biometrics to help identify suspicious ...

“We have found over and over and over again in machine learning, generalized models outperform,” he said. “A big part of that ...

These models detect fraud with 94% accuracy by using feature learning and pattern recognition. Real-time processing reaction rates of fewer than 100 milliseconds are attained via hybrid architectures ...

By Anuj Khurana Banks, NBFCs, and insurers are exposed to complex fraud typologies that exploit gaps in legacy controls and bypass traditional detection systems, making them harder to trace. These ...

This project focuses on detecting fraudulent credit card transactions using various machine ... Credit Card Fraud Detection Dataset consisting of real transactions made by European cardholders in ...

This system uses machine learning ... models/ # Trained models │ ├── rf_model.pkl │ ├── xgb_model.pkl │ ├── lgb_model.pkl │ ├── voting_clf.pkl │ └── scaler.pkl ├── app.py # Flask web application ├── ...