Machine Learning - eBook (EN)

Why machine learning is essential in your fight against online fraud

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© 2022, Amazon Web Services, Inc. or its affiliates. All rights reserved. Detect more online fraud faster Wherever commerce exists, fraud is sure to follow. But while the threat of fraud will never be eradicated entirely, that doesn't mean you can't fight back by leveraging technology like AWS machine learning solutions for fraud detection to stay one step ahead of the latest tricks and techniques. AWS provides you with total flexibility in your efforts to combat online fraud. You can develop your own solution in just days with Amazon SageMaker using pre-built algorithms and pretrained models to move with greater speed and accuracy. Or you can integrate Amazon Fraud Detector with your business applications using an API—allowing you to identify up to 80 percent more potential bad actors than traditional methods while remaining focused on your business, not fraud. Amazon Fraud Detector helps you adapt to changing fraud patterns, enabling staff of varying skill levels to develop highly accurate machine learning models. The solution scores the risk of an event in real time so you can instantly apply containment or remediation measures and fast-track low-risk activity. The result: a solution that helps you detect more online fraud faster and without compromising customer experience. Computer vision can also be used to enable advanced fraud detection use cases in which facial biometrics are used to verify user identity. Amazon Rekognition makes it easy to add computer vision authentication to your applications with proven, highly scalable, deep learning technology that requires no machine learning expertise to use. Learn more about how AWS can help you in your fight against fraud: Amazon fraud detection › Amazon computer vision › Contact us to discuss your needs › 14

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