⚠️ PRODAFT USTA - Payment Card Fraud Intelligence (via Codeless Connector Framework)

⚠️ Unpublished: This item is from a solution that is not yet published on Azure Marketplace or not installed in Content Hub.

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Attribute Value
Connector ID PRODAFTUstaPCFICCPDefinition
Publisher PRODAFT
Used in Solutions PRODAFT USTA - Payment Card Fraud Intelligence
Collection Method CCF
Connector Definition Files PRODAFTUstaPCFI_ConnectorDefinition.json
DCR Definition Files PRODAFTUstaPCFI_DCR.json
CCF Configuration PRODAFTUstaPCFI_PollingConfig.json
CCF Capabilities APIKey, Paging

The PRODAFT USTA Payment Card Fraud Intelligence data connector ingests compromised payment-card tickets from the PRODAFT USTA platform into Microsoft Sentinel. Sensitive values are redacted at ingestion: the full card number (PAN) is never stored — only the BIN (first 6), the last 4 digits, the card brand, and the length are retained for triage.

Tables Ingested

This connector ingests data into the following tables:

Table Transformations Ingestion API Lake-Only
PRODAFTUstaCompromisedCards_CL ? ?

💡 Tip: Tables with Ingestion API support allow data ingestion via the Azure Monitor Data Collector API, which also enables custom transformations during ingestion.

Permissions

Resource Provider Permissions:

Custom Permissions:

Setup Instructions

⚠️ Note: These instructions were automatically generated from the connector's user interface definition file using AI and may not be fully accurate. Please verify all configuration steps in the Microsoft Sentinel portal.

1. Connect PRODAFT USTA Payment Card Fraud Intelligence to Microsoft Sentinel

Enter your USTA base URL and a long-lived API key, then select Connect. The connector authenticates to USTA with the Authorization: Bearer <api-key> header and polls every minute. To load history from before the connection time, deploy the PRODAFTUstaPCFI-Backfill playbook shipped with this solution.


Browse: 🏠 · Solutions · Connectors · Methods · Tables · Content · Parsers · ASIM Parsers · ASIM Products · Logic Apps · 📊

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