Case Study
Deduce improves the Trusted User Experience.
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A global hospitality platform needed to prevent account takeovers without generating false-positive MFA challenges or rejecting trusted users. Deduce Identity Insights with Customer Alerts provided threat detection, friction-free customer logins, and seamless customer alerts when extra authentication was required.
In this case study, you’ll learn:
- How ATO fraud poses a major threat to hospitality platforms’ loyalty programs.
- How static authentication signals can create needless friction for trusted users.
- How the Deduce Identity Network provides Behavioral Intelligence at Scale for stronger ATO prevention without added friction.
See how the award-winning Deduce Identity Insights solution reduces false positive MFA challenges, reduces login friction, and prevents ATO fraud.
About Deduce
Deduce sees 89% of new customers before they arrive at a new site or app and 43% within just hours, to stop new account fraud and first checkout fraud. The ever-growing Deduce Identity Network is the largest independent U.S. real-time identity graph in cyber risk and fraud, with activity data on more than 660M profiles engaged in more than 1.5B daily interactions across more than 150K websites and apps, delivering Identity Insights at a scale, recency, and frequency unavailable anywhere else.
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.