Fraud Detector Event Type

Docs > DDSQL Reference > Data Directory > Fraud Detector Event Type

Fraud Detector Event Type in AWS defines the structure of events that you want to evaluate for potential fraud. It specifies the variables, entity types, and labels associated with an event, such as a transaction or account registration. By creating an event type, you provide the foundation for building fraud detection models and rules that analyze incoming data to identify suspicious activity.

aws.frauddetector_event_type

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
arn	core	string	The entity type ARN.
created_time	core	string	Timestamp of when the event type was created.
description	core	string	The event type description.
entity_types	core	array<string>	The event type entity types.
event_ingestion	core	string	If Enabled, Amazon Fraud Detector stores event data when you generate a prediction and uses that data to update calculated variables in near real-time. Amazon Fraud Detector uses this data, known as INGESTED_EVENTS, to train your model and improve fraud predictions.
event_orchestration	core	json	The event orchestration status.
event_variables	core	array<string>	The event type event variables.
ingested_event_statistics	core	json	Data about the stored events.
labels	core	array<string>	The event type labels.
last_updated_time	core	string	Timestamp of when the event type was last updated.
name	core	string	The event type name.
tags	core	hstore