Amazon Web Services, the Cloud computing business of e-commerce giant Amazon, has now made its machine learning-based service to quickly identify potentially fraudulent online activities like online payment and identity fraud generally available.
The service is based on the same technology developed for Amazon.com.
With Amazon Fraud Detector, customers can detect fraud more quickly, easily, and accurately with machine learning while also preventing fraud from happening in the first place, the company said on Tuesday.
“By leveraging 20 years of experience detecting fraud coupled with powerful machine learning technology, we’re excited to bring customers Amazon Fraud Detector so they can automatically detect potential fraud, save time and money, and improve customer experiences — with no machine learning experience required,” said Swami Sivasubramanian, Vice President, Amazon Machine Learning, Amazon Web Services Inc.
With just a few clicks in the Amazon Fraud Detector console, customers can select a pre-built machine learning model template, upload historical event data, and create decision logic to assign outcomes to the predictions.
There are no up-front payments, long-term commitments, or infrastructure to manage with Amazon Fraud Detector, and customers pay only for their actual usage of the service, AWS said.
Amazon Fraud Detector is available starting Tuesday in the US East (N. Virginia), US East (Ohio), US West (Oregon), EU (Ireland), Asia Pacific (Singapore), and Asia Pacific (Sydney), with availability in additional regions in the coming months, the company said.
GoDaddy, Truevo, and ActiveCampaign are among customers and partners who are using Amazon Fraud Detector, it added.