Card Fraud

Let Octai help prevent card fraud for your organisation

Credit card fraud is now the number one type of identity theft, and credit card new account fraud rose an astonishing 88% in 2019.

Improve Accuracy

With Octai’s no-code machine learning technology, it’s fast and easy to build a model to predict credit card fraud and falso positives

‍Anomaly detection

Using Octai’s self learning models, gather and analyze new data to update the existing model and provide a more precise scope of acceptable activity for a user.

Less manual work needed for additional verification

Octai enables you to filter out upto 99.9 percent of normal patterns leaving only 0.1 percent of events to be verified by experts

Fewer false declines

False declines or false positives happen when a system identifies a legitimate transaction as suspicious and wrongly cancels it.

Ability to identify new patterns

Unlike rule-based systems, Octai empowers businesses to be aligned with a constantly changing environment and financial conditions. Enabling analysts to identify new suspicious patterns and create new rules to prevent new types of scams.