Analysis of payment data using SQL to spot fraud problems is a good way to identify and fix issues in an eCommerce system. Here I cover the basics most payments specialists or analysts should know.
Detecting fraud is a critical part of a loss prevention programme. Both to prevent fraudulent transactions on a day-to-day basis but to also be aware of emerging patterns.
A guide for eCommerce merchants with any level of fraud knowledge.
There is a wealth of data online. Financial crime prevention legislation that is built into most data protection law allows you to leverage it.
Fraud attacks pose a significant financial risk to businesses. Understanding and detecting them is key to preventing significant losses.
Here is a short list of five easy things that you can do to help significantly reduce fraud. None of the tactics suggested below are golden eggs but when used in combination together they can help build a very strong picture of risk. 1. Enable dynamic 3DS 2.0 requests on first time card transactions… Continue reading 5 Things You Can do Today to Reduce Fraud
There are a wide range of IP data providers available out there. On thing I found hard when researching was a full list of all of the providers with any useful comments. AbuseDB – List of abusive IP addresses DBIP – Developer API with the essentials [API] Ekata – No pricing means probably quite expensive… Continue reading Full List of IP Address Data Providers
Here are my five favourite fraud passive fraud data vendors that offer huge value for eCommerce operations with tight budgets
If you’re relatively new to fraud you should definitely read on. This article establishes some of the key basic concepts that we’ll go into a lot more depth in separate articles