Most online businesses struggle to reduce fraud losses. However, incorrectly identifying returning customers or producing false positive data during account opening is also costing businesses massive amounts of revenue.
Identity-backed behavioral intelligence at scale can address fraud risk and optimize trust across the user experience.
TAG Cyber CEO and Founder Dr. Edward Amoroso details the customer identity and customer trust challenges digital commerce faces today, outlines how the Deduce platform can help solve these challenges, and offers an implementation plan for effective CIAM and fraud prevention.
In this Research Report, you’ll learn:
- What Is Customer Identity Fraud?
- The Pivotal Role of Customer Identity Access Management
- The Missing CIAM Platform Ingredient
- Techniques for Reducing Identity Fraud Risk and Providing Trusted User Experiences
See how the award-winning Deduce Identity Insights solution can help you resolve the security-CX dilemma.
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.