Author: Frank Turner
Senior Field Data Scientist, Seattle
Frank is an electrical engineer who fell in love with the study of data science, he even spends his evenings teaching data science bootcamps. He is committed to working to do everything he possibly can to understand a customer workflow and figuring out how to learn from every problem he tackles!
Effect of Apple’s Obfuscated Email in iOS 15 on Fraud Detection
Introduction In September, Apple released iOS 15 and along with the update came the “Hide My Email” feature. With this release, iOS and Mac users with a paid iCloud Plus subscription can quickly generate unique email addresses when they’re creating a new account on a website to obfuscate their original iCloud email address. Here at […]
Fraudsters Are Overtaking Your Verification Methods
Many websites depend on one-time password (OTP) verification to fight fraud and ensure contactability in their account sign-up workflows. More sophisticated platforms may use static metadata about phones, such as line type, to block bad actors. Fraudsters have found new ways to acquire more standard phone numbers where static information looks like a real phone […]
Reducing False Declines, Part III: Taking Steps to Tackle Fraud
Identifying good customers in rejected transactions is half the battle, they say. Basic risk assessment rules typically place customers into two groups – good (thumbs up) and bad (thumbs down). Layering machine learning risk assessment intelligence into a fraud platform can tell you more about the good customers that you are leaving behind. But how […]
Reducing False Declines, Part II: Capturing Fraudulant Transactions Isn't Enough
“Fraud detection solutions need not only to prevent fraud, but also need to deliver a superior experience to the end-consumer.” That was the takeaway in the discussion about striking a balance between fraud and customer experience. But how do you optimize risk models? Existing models tend to take on typical customer information such as name, […]
Reducing False Declines, Part I: Happy Customers or Fraudsters?
The new normal enforced by COVID-19 has driven consumers to spend more time online to fulfill their everyday needs. Whether it is out of boredom to compensate for the stay-at-home mandates or out of necessity, consumers are relying heavily on purchases made online. This influx of activity has not gone unnoticed by fraudsters. It is […]