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 detects stolen and synthetic AI-driven identities that fool legacy identity-fraud security solutions and damage trust. Deduce unmasks these identities using patented technology and the largest purpose-built, activity-backed identity graph, which sees 185M+ identities more than three times every week, 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, expose “sleeper” stolen and synthetic identities that are already in customer databases, reduce friction and false positives in onboarding, reduce onboarding operational costs, and improve customer acquisition KPIs.
Deduce awards include Tech of the Future – Fighting Fraud at the 2024 Banking Tech Awards USA, 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 AI-driven identity fraud threat and Deduce’s solution at deduce.com.