The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection. Traditional models like deep neural networks can accurately flag fraudulent ...

As automated fraud detection ... identify credit card behavior patterns that are irregular for specific customers. My company created an automated, generalizable predictive algorithm that ...

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

Merchant losses are projected to reach $38 billion in 2023, driven by credit card fraud, phishing, chargebacks and identity theft, to name a few scheming ways. This is where anomaly detection ...