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 define metrics that identify real and valuable users, the mobile advertising landscape has shifted to cost-per-install [...]
Chuck Thacker was part of the foundation of everything we know in computing and a major influence on our founders and our company. Thank you, Chuck Thacker.
We’re on our way to Austin! Financial fraud is now a professional enterprise, with a complete ecosystem of fraud-as-a-service stealing more than $16B per year. According to a recent report, there were more than 4.2 billion records exposed globally in 2016. Fraudsters are using these stolen identities to create armies [...]
According to the 2016 Anita Borg Institute’s Top Companies for Women Technologists program, only 21.7 percent of women hold technical roles. That’s why DataVisor, with two female cofounders and 32 percent of women in technical roles, can seem like an anomaly in the world of Silicon Valley startups. Yinglian Xie, [...]
In March we released our inaugural DataVisor Online Fraud Report, which took a look at our base of more than one billion users across 172+ countries in the world, and fulfilled its mission of arming fraud fighters like our customers with some new intel on how bad actors conduct attacks. [...]
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 expensive for investigators to sift through Sophisticated money launderers know how to circumvent rule-based systems [...]
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 engine on the planet. At a glance, the Automated Rules Engine: adds, deletes, and tunes [...]
As DataVisor Co-Founder and CEO Yinglian Xie says in her foreword to the Inaugural DataVisor Online Fraud Report, “Data is power.” We have no shortage of data here at DataVisor and we have taken the opportunity to unlock it and analyze the results. Through our Global Telemetry Network of [...]
ending the false positive alerts plague, approximately 90-95 percent of alerts generated by Transaction Monitoring Systems (TMS) are false positives. So, why don’t we tighten our rule thresholds to let fewer alerts through? Image Source Unfortunately, tightening thresholds typically increases false negative alerts, which are real [...]
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 card providers and merchant acquirers with a focus on implementing, fine tuning and validating financial [...]
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 to the table a ruthless drive to catch criminals, a focused approach and team chemistry [...]
One billion. It’s a number that has been all of the headlines recently, with Yahoo disclosing a breach of more than one billion user accounts in August 2013. It’s hard to fathom a breach that large, but as we noted back in August of 2015, we are entering an era [...]
Wondering if your company has any crime rings sleeping among your users? Most will acknowledge that there are likely some accounts lurking here or there, but may not realize that it’s a big problem. This attitude is held by a lot of companies, large and small, and many think they [...]
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 fraud trends in 2017. Fraud and security are interesting areas in which to try to [...]
Money laundering. It sounds clean, but it’s a dirty business. According to PWC, “global money laundering transactions are estimated at 2 to 5% of global GDP, or roughly U.S. $1-2 trillion annually.” As attack techniques become more sophisticated, the landscape for money laundering is changing quickly. This means that the [...]
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 to the table a ruthless drive to catch criminals, a focused approach and team chemistry [...]
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 to conceal that the funds exist, how he or she acquired them and where they [...]
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 that harmed customers,” and the backlash caused by the account opening has been harsh. While [...]
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. Protecting good customers and keeping them safe. These all describe a typical day in the [...]
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, and Unsupervised Analytics. Based on my blog post, “Unsupervised Analytics: Moving Beyond Rules Engines and [...]
