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.

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.

With CSPs having access to incredibly rich data which can be streamed in real time, there is huge scope to utilise this in order to enrich the overall customer experience.

Let's look at customer experience scenarios that can be improved by advanced analytics and how CSPs could and should take a more customer-led approach.

In this short series I’ll explore how this trend toward customer experience is underpinned by data, advanced analytics and connecting customer decisions across the lifecycle to optimise revenues.

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

Are you ready to turn your body into a smartphone? And if you are, how will you secure the data your body transmits?

Having the ability to interpret the churn signals coming from different customer segments is becoming more important in managing customer relationships up-stream of switch requests.

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?