Security News > 2020 > July > Amazon Fraud Detector: Use machine learning in the fight against online fraud

Using machine learning 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 machine learning expertise required.

Amazon Fraud Detector provides a fully managed service that uses machine learning for detecting potential fraud in real time, based on the same technology used by Amazon.com-with no machine learning experience required.

"Customers of all sizes and across all industries have told us they spend a lot of time and effort trying to decrease the amount of fraud occurring on their websites and applications," said Swami Sivasubramanian, Vice President, Amazon Machine Learning, Amazon Web Services Inc. "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."

Developers with machine learning experience who want to extend what Amazon Fraud Detector delivers can customize Amazon Fraud Detector using a combination of machine learning models built with Amazon Fraud Detector and those built with Amazon SageMaker.

"We recently began using Amazon Fraud Detector, and we're pleased that it offers low cost of implementation and a self-service approach to building a machine learning model that is customized to our business. The model can be easily deployed and used in our new account process without impacting the signup experience for legitimate customers. The model we built with Amazon Fraud Detector is able to detect likely fraudulent sign-ups immediately, so we're very pleased with the results and look forward to accomplishing more."

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