Introduction There are many technical articles that describe supervised and unsupervised machine learning methods. In this guide, we will explain a few high level differences when it comes to choosing between the two. Comparison 1: [...]
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 [...]
The DataVisor Online Fraud Report took a look at our base of more than one billion users across 172+ countries in the world. Using this massive amount of data, we were able to identify some of the favorite tools and attack techniques that online criminals from around the globe favor when doing their dirty work.
As mentioned in my previous articles, traditional rule-based transaction monitoring systems (TMS) have architectural limitations which make them prone to false positives and false negatives: Naive rules create a plague of false positives that are [...]
Today, we’re excited to publicly announce the DataVisor Automated Rules Engine, a rules engine that maintains itself. By eliminating the need for human effort to add, tune, and delete rules, it’s the most sophisticated rules [...]
False positives have a terrible reputation among anti-money laundering (AML) circles. As mentioned in my previous article on ending the false positive alerts plague, approximately 90-95 percent of alerts generated by Transaction Monitoring Systems (TMS) [...]
Keith Furst is the Founder of Data Derivatives, and has years of experience within a variety of financial institutions including Tier One wholesale banks, investment banks, foreign bank branches, commercial banks, retail banks, broker-dealers, prepaid [...]
With the rapid popularization and development of the Internet, a cesspool of online possibility has opened for nefarious individuals with an eye for rampant security gaps.