Fraud Detector Model in AWS is a machine learning resource that helps identify potentially fraudulent activities in real time. It allows you to build, train, and deploy models using historical data and predefined variables without requiring deep ML expertise. The model can be integrated into applications to evaluate events such as online transactions, account registrations, or payments, providing a fraud risk score that supports automated decision-making.

aws.frauddetector_model

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