New identity tool helps combat digital fraud

Spotting potentially fraudulent customers and transactions is difficult. But a new tool from identity verification firm Ekata uses machine learning to help identify good and bad customers. Network Score uses the Ekata Identity Network, a proprietary global dataset of billions of customer transactions, to reduce the number of false transaction declines and increase the precision of fraud detection. The Identity Network works in conjunction with the Identity Graph, Ekata’s database of globally sourced and licensed data, vetted through rigorous acceptance criteria in compliance with global privacy and security standards. These are used to track activities and leverage transaction-level intelligence to… [Continue Reading]