Fraud Detector Detector

Fraud Detector Detector in AWS is a resource that defines the core detection logic for identifying potentially fraudulent activities. It combines event data, rules, and machine learning models to evaluate incoming events and determine the likelihood of fraud. This resource acts as the central component in AWS Fraud Detector, enabling you to configure how events are analyzed and what outcomes or actions should be triggered when suspicious behavior is detected.

aws.frauddetector_detector

Fields

TitleIDTypeData TypeDescription
_keycorestring
account_idcorestring
arncorestringThe detector ARN.
created_timecorestringTimestamp of when the detector was created.
descriptioncorestringThe detector description.
detector_idcorestringThe detector ID.
event_type_namecorestringThe name of the event type.
last_updated_timecorestringTimestamp of when the detector was last updated.
tagscorehstore