Fraudsters are causing a Digital Identity Crisis
Fraud stacks rely on compromised data
Today’s identity verification software looks backward: checking where applicants live, what their credit score is, and other personal identifiable information (PII) connections. Meanwhile, fraudsters are harvesting PII and using it to defeat these systems through aggressive, targeted attacks.
Fraud ring attacks are evolving
Sophisticated fraud rings are cunning, aggressive, and focused, even taking the time to learn about their targets step-up policies. They’re often not detected until it’s too late—and many prevention systems use blunt force tactics that lock out both genuine and risky applicants.
False positives cost more than fraud attacks
Aite-Novarica Group predicts that false positives will cost digital merchants $443B in revenue over the next two years. Fraud prevention systems declining genuine customers is often seen as a cost of doing business in the digital world. It doesn’t have to be that way.
Fraud is evolving. So should your tools.
NeuroID’s ID Crowd Alert™ provides proactive fraud ring detection by monitoring crowd-level behavior and alerting to behavior indicators that signal bots or fraud ring attacks.
Passive identification illuminates new ways to weed out bad actors, without harming genuine users’ experiences. Streamline internal processes and detect bots, fraudsters, and fraud rings, as well as enhance data-driven decisioning throughout the customer journey for measurable bottom-line impact from preventing friction, fraud, and false declines.
Unlock the value of digital behavior
Behavioral data has long existed—it’s the simple taps, types, and swipes of user interactions. NeuroID uses that data to unlock your users’ state of mind and determine if they are genuine or risky, without relying on compromised PII.