Quantum machine learning has been one of the most tantalizing promises in computational finance: the idea that qubits, ...

Learn how AI fraud detection uses payment and login signals to flag suspicious activity, reduce false positives and support ...

Alongside that career, I have spent the last several years publishing peer-reviewed research applying artificial intelligence ...

Researchers have developed a federated deep learning framework that detects financial fraud across banks with high accuracy ...

Every payment option comes with its own technical infrastructure, security requirements and regulatory considerations. A ...

A scammer who called in my daughter's voice...One afternoon, M (61) received a call from someone claiming to be her daughter, ...

The 43% of scam victims who pay fraudsters within an hour present banks with an obvious problem. There may be almost no time to stop the transaction. The ...

Financial Stability Board published a final report outlining 12 sound practices for responsible artificial intelligence ...

Learn how real-time AI fraud detection identifies unusual payments, links suspicious accounts, and helps financial ...

DHS explains how RIVR tests identity document verification software using genuine and counterfeit ID, smartphone images and ...

Recurrence Quantification Analysis (RQA) is a powerful phenomenological method for characterizing dynamical systems from sequential empirical data, but it is fundamentally limited to continuous ...

The Financial Stability Board recommends measuring results, assigning accountability and matching controls to potential AI ...