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 a result of the rise in application fraud due to EMV adoption in the US, Citi is exploring new authentication protocols and new analytics.

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

When it comes to application fraud, machine learning analytics must be a critical part of a financial institution’s control strategy.

How is application fraud evolving? And what should fraud leaders be doing to manage fraud risk in a digitally connected world?

It’s raining data left and right, and you need to start by understanding what data you already have to fight application fraud and where there are gaps.

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.

When we talk about brute force application fraud and bot-net attacks, what are we really talking about?

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?

Fraud and security are a top priority for financial institutions — but just stopping fraud isn’t enough. Managing fraud is a balancing act that starts with knowing your fraud risk appetite.

Response rates have dramatically improved from hours or even days to 11 minutes on valid transactions and 31 minutes when confirming card fraud.

Identity theft, also known as third-party fraud losses, is just the tip of the application fraud iceberg. First-party fraud can be 10 times as much.