Intelligent CIO Europe Issue 77 | Page 56

CASE STUDY
• Enhanced fraud detection : Onfido ’ s known faces feature resulted in 1 % of profile verifications triggering alerts , significantly improving the identification of potential fraudulent activity .
• Effective restriction implementation : A substantial 16.5 % of these alerts led to restrictions , showcasing the precision and efficacy of Onfido ’ s fraud prevention measures .
Onfido ’ s contribution extended beyond fraud prevention , significantly enhancing Getaround ’ s reputation as a reliable player in the carsharing market . and over 1,000 towns and cities , we needed a best-inclass solution to keep our users , vehicles and services safe while keeping bad actors out .
We had noticed that some users with flagged fraudulent activities were able to re-join our platform under new identities , bypassing existing alert systems . This posed a threat to our platform ’ s integrity and could compromise our services , so we needed a robust identity verification solution that was able to detect and filter out these attacks , without impacting the experience of legitimate users .
The heightened security measures not only safeguards the platform but also attracts new customers who prioritise safety . Looking forward , Getaround aims to leverage this newfound trust to attract more vehicle owners and users , solidifying its position as a leading digital carsharing service .
We asked Pierre Béret , VP Customer Operations & Risk , Getaround , further questions to find out more about the project .
Why was fraud detection the main obstacle for Getaround , and what factors led to choosing Onfido ?
Crucially , we did not want to impact the user experience of legitimate users that were onboarding to our platform with modified details . Onfido ’ s innovative ‘ Face Found ’ solution can discern between legitimate users and fraudsters attempting to return with new identities . Its combination of document and AI-powered biometric checks has accelerated our user onboarding times and created a more secure , trusted process .
Explain the implementation process of Onfido ’ s ‘ Face Found ’ solution – were there any technical challenges identified , and how were they overcome ?
Fraud is a game of cat and mouse , and as we ’ ve expanded our carsharing platform into eight countries
Implementing Onfido ’ s ‘ Known Faces ’ feature for a ‘ Face Found ’ solution was a quick and smooth
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