Thank you, Chuck Thacker.
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.
Unsupervised in Austin – Digital Banking 2017
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 [...]
Yinglian Xie Named Woman of Influence by the Silicon Valley Business Journal
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, [...]
Infographic: The Online Fraudster’s Tool Shed
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. [...]
Guest Post: AML Data Quality – The Challenge of Fitting a Square Peg into a Round Hole
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 [...]
Introducing the DataVisor Automated Rules Engine
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 [...]
Introducing the DataVisor Online Fraud Report
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 [...]
Guest Post: The Other Elephant in the Room: Defeating False Negatives in AML Systems
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 [...]
Guest Post: End the False Positive Alerts Plague in Anti-Money Laundering (AML) Systems
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 [...]
Guest Post: Look at the Bricks Again – Inside the Mind of a Fraudster
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 [...]
Datavisor Protects One Billion Accounts
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 [...]
Twitter Bots: These are the Droids You’re Looking For
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 [...]
Datavisor’s Fraud Trends and Predictions for 2017 – Thoughts on What’s Ahead
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 and Meeting Up – A Recap
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 [...]
Guest Post: Lock It Down and Smarten Up – Best Practices for Online Security
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 [...]
Don’t Be Taken to the Cleaners – Money Laundering Techniques
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 [...]
Bad Account Opening: Fake Accounts and Real Big Trouble
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 [...]
A Guide To Hiring Your Fraud Team Part 2: Automate, Motivate and Innovate
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 [...]
What We Learned: Fraud Detection Tools Webinar
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 [...]
Where to Begin – A Guide to Hiring Fraud Analysts and Building Your Team
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, important are the people who analyze and review cases to catch fraudsters. This post is [...]