Despite all of the safeguards and fraud detection systems in place, Capital One failed to monitor or detect the unauthorized activity.

Revealing insights from its data, Stripe recommends that online businesses employ machine learning to detect fraud.

Machine learning plays a critical role in fraud detection by identifying patterns and anomalies in real-time. It analyzes large datasets to spot normal behavior and flag significant deviations ...

Research published in the International Journal of Information and Communication Technology suggests that machine learning tools might be used to detect and so combat financial fraud.

Stripe is making its move into machine learning in a bid to wipe out card fraud, which is expected to total $183bn by 2020.

Today’s article explores how leading banks leverage AI-powered fraud detection tools, with machine learning models playing a critical role in anti-money laundering (AML), and how these ...

The OLX platform has a number of tools to ensure security and detect fraudulent schemes; due to systematic work, it has been possible to reduce the number of fraud cases by 90% over the past three ...

Revolut has invested in machine learning technology in order in the fight against card fraud and money laundering.