This holiday season should be a joyous one — for criminals. Holiday spending always makes it easier for fraudsters to steal your money, for two reasons.

The Falcon Intelligence Network is designed to drive fraud-focused AI innovation while providing a global perspective of fraud detection performance.

Adaptive analytics technologies improve sensitivity to shifting fraud patterns by automatically adapting to recent confirmed case disposition.

You can improve predictive accuracy in fraud detection by expanding the dataset used to craft the predictive characteristics used in a machine learning model.

In order to maintain a positive consumer experience, specialized fraud analytics must be used to assess the “tough” questions.

A robust enterprise fraud solution combines a range of behavioral analytics models and profiles, which can understand evolving patterns in real time.

Where do we stand on the industry’s challenge to the Telephone Consumer Protection Act (TCPA), now that the DC Circuit Court of Appeals finally issued its long-awaited decision?

In the age of data breaches, self-broadcasting of personal information, and ever more-sophisticated fraudsters, here are four steps you can take to protect yourself.

As FICO reported today, there was a 10% increase in the number of payment cards compromised at U.S. ATMs and merchants in 2017.

With much of the dramatic shift in the U.S. regulatory landscape complete, we are moving to the next stage, which will focus more on efforts to adopt regulatory reform.

I'm forecasting that in 2018, my wallet will become slimmer as physical (plastic) credit cards are replaced with payment apps on my smart phone.

In terms of detecting fraudulent card transactions, there’s only one data source that offers the most predictive power, hands down: other card transactions, and lots of them.

Will banks bolster their defensive line with additional mobile payments fraud protections, driving further adoption?