The Good, the Bad, and the Ugly: What Will 2019 Bring for Fraud?

Landmark events and advances in fraud, abuse, and risk management came out of 2018. We experienced some of the largest data breaches to date, made strides towards greater data regulation via GDPR, and saw some of the world’s biggest companies face public outcry over the mishandling of sensitive user information. Fraud isn’t going anywhere in […]

It’s the Fraudiest Time of the Year for Travelers

Visiting family for the holidays? So is everyone else. Last year, a record-shattering 107 million people traveled between Thanksgiving and New Year. In December and early January, travel spiked by 20%. That’s millions of people booking flights, grabbing hotels, and buying train tickets. A good chunk of these transactions happen on “Travel Tuesday,” the day […]

10 Fraud Myths: The Hidden Insights that Drive Business Decisions

Think you know when the most online fraud takes place? It’s probably Cyber Monday or Black Friday, right? What about the fraudiest country in the world? Somewhere in Eastern Europe? Businesses may think they understand fraud, but the reality is far more complex. This lack of insight leads to guessing, incorrect conclusions, and bad decisions. […]

GDPR Was Only the Beginning for Compliance

By now, you’re more familiar with GDPR than you ever wanted to be – whether it’s because of the countless emails about updated privacy policies that are still sitting in your inbox, or because your business had to do some updating and emailing too. GDPR is the European Union’s General Data Protection Regulation, which started on May 25th of […]

Rules vs. Machine Learning: Why You Need Both to Win

Rules-based fraud prevention systems have a number of drawbacks when compared to the sophistication of machine learning, but is a machine learning-based system the be-all and end-all of fraud prevention? Can rules actually prove to be beneficial while making the transition to machine learning? We explored these and other questions in our webinar, Rules, Machine […]

Build vs. Buy: 5 Capabilities You Need in a Fraud Tool

When considering whether to build or buy your fraud prevention tools, there are a lot of criteria to assess. What is your in-house level of technical expertise? What are your time constraints? Would developing this technology be a core competitive advantage? And more… In our recent webinar, Building versus Buying: Understanding the Right time for […]

[Infographic] Hot Routes of Travel Fraud

There’s no navigating around it: the travel industry is a frequent target of fraud. Spanish travel agency Destinia makes sure fraud doesn’t get in the way of running their business and delivering an awesome experience to their good customers. They use machine learning to monitor and stop high-risk purchases, grounding travel fraud before it takes […]

4 Things We Learned from our Q&A with Fintech Pioneer Max Levchin

Max Levchin recently came to Sift Science to share stories about his personal and professional experiences – from his early days hauling his desktop computer around in his car as he drove from city to city to pitch investors, to his eventual success as the co-founder of PayPal. Max is now the CEO of digital […]