The digital economy is witnessing sophisticated and previously unknown fraud attacks like never before and existing fraud solutions are struggling to keep up.
Today's AML & Compliance leaders face dual challenges of increasingly sophisticated digital financial crimes and the threat of growing fines from regulators. Learn how AI and Machine Learning can help FIs detect more crime and better triage alerts.
Online digital lenders have proliferated in the last few years, and traditional lenders have also rebalanced their focus and have increased their digital efforts across all products trying to catch up with their nimbler rivals. As a result, the potential target for fraudsters to attack has become significantly larger and more lucrative and they haven’t held back their efforts to inflict maximum financial damage.
Fraudsters are constantly coming up with new and innovative ways to commit fraud. Today we are taking a look at product listing fraud, a relatively new type of fraud that is a rapidly growing problem for online marketplaces.
Mobile marketers are in a race against fraud. Traditional cost-per-impression (CPM) and cost-per-click (CPC) advertising is unreliable since it can be easily overrun by spoofed traffic from automated software. In an effort to better [...]
Device fingerprinting, i.e., collecting information from a device for the purposes of identification, is one of the main techniques used by online services for mobile fraud detection. The goal is to recognize “bad” devices used [...]
A version of this post also appeared on Mobile Advertising Watch. The mobile app landscape is extremely competitive. With more than three million apps available today in the major app stores, a new app has slim [...]
We predict that account takeover fraud (ATO fraud) will skyrocket this year as result of the many data breaches we witnessed recently. Cybercriminals put the work into stealing your data, now it’s time to put that data to work for them.