Data models in Splunk App for Fraud Analytics

The Splunk App for Fraud Analytics includes two data models that are used by searches and dashboards. Some data source field names are aliased to match field names in the data models. Data models improve the performance of statistical queries and provide standardized field names for most searches.

Name Description
fraud_web Web traffic data that includes standard web log data and additional fields for user actions.
fraud_account Demographic data related to account signups, customer acquisition, or customer applications for service.
fraud_ui Fraud detections and use cases of unemployment insurance fraud.
fraud_aml Fraud detections for money laundering use cases in the financial and banking industry.
meds_activity Detection of suspicious, anomalous, and inappropriate access to controlled substances and opioids in healthcare or hospital environments.