No matter the type of fraud, machine learning is a powerful tool to keep it from becoming a serious problem — regardless of how our circumstances may change.

Bespoke fraud ML models are powered by algorithms that learn from historical data, picking up on behaviors and characteristics commonly associated with fraud.

AI is one of the best tools credit card networks have in their battle against fraud, but there are also steps you can take to protect yourself.

A machine learning algorithm for fraud detection needs to be trained first by being fed the normal transaction data of lots and lots of cardholders. Transaction sequences are an example of this ...

Credit Card: How machine learning is transforming credit card customer experience From bolstering fraud detection to fine-tuning personalised financial trajectories, this cutting-edge technology is ...

While it's all the rage to talk about newfangled forms of artificial intelligence, fraud detection owes a lot to machine learning, a field within AI that's been around for years.

Consumers' credit cards are declined surprisingly often in legitimate transactions. One cause is that fraud-detecting technologies used by a consumer's bank have incorrectly flagged the sale as ...

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

If we consider that most datasets with credit card transactions are unlabeled or that fraudulent transactions cannot be reliably manually identified, the chances of applying a supervised machine ...