Unsupervised Machine Learning (UML) is a topic that we get a lot of questions about here at DataVisor, because UML is at the core of our detection platform. In this 5-minute primer on UML, we start by defining the overarching field of Artificial Intelligence, then we drill down to the sub-field of Machine Learning, and lastly we discuss the various machine learning techniques, including UML, and when each ML technique is most effective.
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.
Predictions season is upon us once again and after some successful speculation for 2016, we decided to take another Nostradamus-like crack at it again with what we predict will happen in the world of online [...]
This is a guest post from Zack Pumerantz, fraud prevention manager at FanDuel. At FanDuel, Zack is responsible for proactive investigation, chargebacks, reporting and training his quickly growing team of cyber crime specialists. Zack's team brings [...]
Money laundering is big business. Criminals use money laundering techniques to cover up funds acquired through illegal activity and make it appear as if they were generated through legitimate and legal means. The fraudster aims [...]
Wells, wells, wells, what do we have here? Last week the news broke that Wells Fargo had “been hit with $185 million in civil penalties for secretly opening millions of unauthorized deposit and credit card accounts [...]
Matching wits with a nefarious user. Solving a puzzle where you have to find missing clues. Determining what steps they’ll take next. Getting an adrenaline rush when hot on the trail of a bad guy. [...]
Our first webinar is in the books! In our Fraud Detection Tools Webinar, DataVisor co-founder and CTO Fang Yu and I broke down four major tools for fraud detection: Reputation Lists, Rules Engines, Supervised Machine Learning, [...]
In my last post, I talked about technology and, in particular, components in a fraud-detection architecture. But when it comes to building a fraud strategy, it’s not just about technology. Perhaps equally, if not more, [...]