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customer transactions

Ekata Launches New Identity Verification Tool to Fight Digital Fraud

Network Score Improves Risk Analysis for Digital Interactions Ekata today announced the release of the latest innovation to its global identity verification dataset, Network Score. Network Score is a machine learning prediction that enables businesses to better identify good and bad customers based on a series of insights. The new dataset flags potentially risky digital transactions and fraudulent customers by analyzing the activity patterns of the identity information being used. Network Score leverages the power of the…