Fraud Detector External Model

Fraud Detector External Model in AWS allows you to integrate machine learning models hosted outside of Amazon Fraud Detector into your fraud detection workflows. By registering an external model, you can use it alongside native Fraud Detector models and rules to evaluate events for potential fraudulent activity. This enables flexibility to leverage custom or third-party models while still benefiting from Fraud Detector’s orchestration and decision-making capabilities.

aws.frauddetector_external_model

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
arncorestringThe model ARN.
created_timecorestringTimestamp of when the model was last created.
input_configurationcorejsonThe input configuration.
invoke_model_endpoint_role_arncorestringThe role used to invoke the model.
last_updated_timecorestringTimestamp of when the model was last updated.
model_endpointcorestringThe Amazon SageMaker model endpoints.
model_endpoint_statuscorestringThe Amazon Fraud Detector status for the external model endpoint
model_sourcecorestringThe source of the model.
output_configurationcorejsonThe output configuration.
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