Amazon Fraud Detector is a fully managed service that makes it easy to quickly identify potentially fraudulent online activities like online payment and identity fraud.
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Amazon Fraud Detector Using under the hood and based on over 20 years of fraud detection expertise from Amazon, Amazon Fraud Detector automatically identifies potentially fraudulent activity in milliseconds—with no
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.
Today, tens of billions of dollars are lost to online fraud every year by organizations around the world. As a result, many businesses invest in large, expensive fraud management systems. These systems are often based on hand-coded rules that are time-consuming to set up, expensive to customize, and difficult to keep up-to-date as fraud patterns change—all of which leads to lower accuracy. This leads organizations to reject good customers as fraudsters, conduct more costly fraud reviews, and miss opportunities to drive down fraud rates.
Amazon has made significant investments over the past 20 years to combat fraudulent activity using sophisticated
Amazon Fraud Detector provides a fully managed service that uses
To get started, customers upload historical event data (e.g. transactions, account registrations, loyalty points redemptions, etc.) to Amazon Simple Storage Service (Amazon S3), where it is encrypted in transit and at rest and used to customize the model’s training. Customers only need to provide any two attributes associated with an event (e.g. logins, new account creation, etc.) and can optionally add other data (e.g. billing address or phone number).
Based upon the type of fraud customers want to predict, Amazon Fraud Detector will pre-process the data, select an algorithm, and train a model. Amazon Fraud Detector uses
Amazon Fraud Detector trains and deploys a model to a fully managed, private Application Programming Interface (API) end point. Customers can send new activity (e.g. signups or new purchases) to the API and receive a fraud risk response, which includes a precise fraud risk score. Based on the report, a customer’s application can determine the right course of action (e.g. accept a purchase, or pass it to a human for review). With Amazon Fraud Detector, customers can detect fraud more quickly, easily, and accurately with
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