Case Study: BEAT achieves real-time fraud detection and stronger trust and safety with SHIELD

A SHIELD Case Study

Preview of the Beat Case Study

Fast Growing Ride-Hailing App Drives Trust and Safety with Risk Intelligence

Beat, the fastest-growing ride-hailing app in Latin America with 19+ million users and 600,000+ drivers across six countries, faced the challenge of bulletproofing its fraud shields as it expanded—requiring extreme accuracy in detecting malicious devices/apps, strict privacy compliance, flexible scaling, and real-time risk decisions during short booking windows. To meet these needs Beat engaged SHIELD, deploying DeviceSHIELD’s risk intelligence to strengthen safety for both riders and drivers.

SHIELD implemented persistent device identification (SHIELD ID) and continuous session profiling (SHIELD Sentinel), and in proof-of-concept outperformed Beat’s in-house and competing solutions on accuracy. SHIELD consistently detected malicious users across multiple accounts, identified the exact moment legitimate users turned malicious, and delivered real-time intelligence that enabled faster, better blocking and safety decisions—helping Beat improve fraud detection and protect its platform as it scales.


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Beat

Jean-Baptiste Dodane

Product Manager for Fraud, Safety


SHIELD

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