Fraud protection tools analyze each online transaction

By matching the buyers data against rules and machine learning intelligence

Leading to two main decisions - to approve or decline the transaction

But what about the unknown transactions that are not clearly fraudulent?

On average, 15% of transactions are labeled unclear or “grey”

Needing to immediately deliver the product, there is no time to manually review those transactions

Leading traditional fraud protection tools to simply decline the greys, resulting in a 16% decline rate

nSure.ai’s patent pending AI specializes in analyzing virtual good transactions and is able to separate the legit buyers from the actual fraudsters

Leading to a 98% approval rate - substantially higher revenue and customer satisfaction