Approve More Applicants with Less Friction
Financial institutions have been fighting fraud for a long time, and many have impressively low fraud rates. But the fraud landscape is constantly changing, and AI generated fraud poses a new challenge for businesses.
In particular, identifying fraudsters is different from recognizing good customers, and many fraud prevention processes create friction that drives away the customers that banks actually want.
In this Case Study, you’ll learn how Deduce Identity Insights allowed a Top 3 bank to:
- Keep fraud rates low, even in the face of new threats such as AI-generated fraud.
- Reduce onboarding costs by eliminating step-up checks for trusted customers.
- Reduce application abandonment rates (and follow-on LTV and CAC losses) by reducing friction for trusted customers.
See how Deduce Identity Insights helps banks overcome onboarding and fraud prevention challenges.
About Deduce
Deduce detects SuperSynthetic™ customers–AI-generated identities so realistic they fool legacy fraud solutions. Deduce unmasks SuperSynthetic identities using patented technology and the largest purpose-built, activity-backed identity graph, with 840M U.S. profiles generating 1.5B+ authenticated online events per day across 150,000+ websites and apps. Deduce Identity Graph data drives real-time multicontextual digital forensics to protect new account opening workflows and expose “sleeper” SuperSynthetics already in customer databases.
Recent Deduce awards include the #1 Security spot in Fast Company’s World’s 50 Most Innovative Companies 2022 and the 2022 CISO Choice Award for Fraud Prevention. Learn more about the SuperSynthetic threat and Deduce’s solution at deduce.com.