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Sumsub is a global leader in identity verification, committed to creating a safe, accessible, and inclusive digital world. By enabling seamless verification processes, Sumsub helps businesses onboard users quickly and securely, fostering trust and accessibility across diverse markets.
Challenges
Navigating Sophisticated Fraud
Sumsub faced increasingly sophisticated fraud tactics, from account takeovers to false identity submissions, complicating its ability to maintain robust yet user-friendly verification processes.
Scaling to New Markets
Expanding globally required adapting to the complexities of local data ecosystems, which often lacked contextual insights necessary for effective decision-making.
Balancing Efficiency and Security
As Sumsub grew, the need to fast-track legitimate users while enhancing scrutiny for risky cases created a dual challenge of maintaining operational speed without compromising security.
Solution
Sumsub partnered with Monnai to leverage its Global Consumer Insights Infrastructure, enabling:
Enhanced Trustworthiness Assessments
Monnai’s enriched data provided real-time insights into users’ digital footprints, helping Sumsub gauge trustworthiness and adjust workflows dynamically.
Seamless API Integration
Monnai’s API integrated effortlessly into Sumsub’s existing systems, ensuring a smooth transition without disrupting operations.
Localized Insights for Global Expansion
Monnai’s global data coverage enabled Sumsub to adapt verification workflows to regional nuances, enhancing decision-making in new markets.
Outcomes
Improved Verification Success Rates
Monnai enabled Sumsub to achieve a 98% pass rate for legitimate users, reducing false negatives and improving onboarding efficiency.
Reduced Fraud Incidents
With Monnai’s real-time fraud detection capabilities, Sumsub identified and mitigated fraudulent activities faster, minimizing risks.
Operational Scalability
By automating key processes and reducing manual interventions, Sumsub streamlined its verification workflows, handling higher volumes with consistent accuracy.
