Choose a model type
The following model types are available in Amazon Fraud Detector. Choose a model type that works for your use case.
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Online Fraud Insights
The Online Fraud Insights model type is optimized to detect fraud when little historical data is available about the entity being evaluated, for example, a new customer registering online for a new account.
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Transaction Fraud Insights
The Transaction Fraud Insights model type is best suited for detecting fraud use cases where the entity that is being evaluated might have a history of interactions that the model can analyze to improve prediction accuracy (for example, an existing customer with history of past purchases).
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Account Takeover Insights
The Account Takeover Insights model type detects if an account was compromised by phishing or another type of attack. The login data of a compromised account, such as the browser and device used at login, is different from the historical login data that’s associated with the account.
