The trade-off between security and customer experience is a perennial problem for online businesses, caused by the need to know who’s signing up or logging in: a trustworthy new user, a trusted existing customer, or a fraudster?
Behavioral Intelligence at Scale leverages dynamic identity data to provide real-time Trust and Risk signals for every online user, so you can route trusted users on a friction-free journey and challenge non-trusted users to further validate their identity.
Until recently, this was only an option for data-rich MAAMA (Meta, Alphabet, Amazon, Microsoft, Apple) companies. Now, the Deduce Identity Network makes it an option for every enterprise.
In this executive brief, you’ll learn:
- What the Trusted User Experience is and why it matters.
- How to fast-track new customer onboarding safely.
- How to securely extend login sessions for trusted returning customers.
See how the award-winning Deduce Identity Insights solution resolves the security-CX dilemma and enhances the Trusted User Experience.
Deduce helps companies enhance their customer authentication workflows (CIAM and IDV) to prevent account takeover and account creation fraud and to improve their customer experience. The always growing Deduce Identity Network is the largest independent real-time identity graph across cyber risk and fraud in the U.S., with activity data on more than 500M profiles engaged in more than 1.4B daily interactions across more than 150K websites and apps. The Deduce Identity Network provides Real-Time Behavioral Intelligence at Scale for more accurate fraud prevention and less authentication friction for trusted customers. Deduce Identity Insights offers fast, API-based integration with major CIAM platforms.
Deduce honors and awards include the #1 spot in the Security category of Fast Company’s World’s 50 Most Innovative Companies for 2022, 2021 Fortress Cyber Security, Global InfoSec, and silver Edison Awards, as well as spotlights from CSO, Artificial Intelligence Excellence, and more. Learn more at deduce.com.