Increasingly, lenders are facing organised fraud attempts from users creating multiple applications with fraudulent credentials.
KYCD Fraud Checks use advanced technology to identify patterns and anomalies. We employ techniques such as device fingerprinting, which analyzes unique characteristics of the device accessing the credit application platform. Additionally, we utilize machine learning algorithms to detect suspicious behaviours.
We look at character/behavioural data through interactions in our assessment and/or any online end-to-end user journey to identify key fraudulent indicators. We flag unusual patterns of completing assessments and generate a confidence score, providing another layer of risk protection.
Begini worked with a micro lender being targeted by organised fraud at the application stage, we were able to build a custom fraud model which reduced their fraud losses by ~80%.
First-party data through simple yet thorough gamified assessments that are targeted to character traits which are associated with creditworthiness.
Privacy-consented metadata from the users device (iOS or Android) that can be used to predict risk.
SaaS technology that provides alternative data credit scores for Banks, Micro Finance, Digital Lenders, Neo Banks, BNPL and Asset Financing.
