Direct Transaction Data Sharing for Faster Fraud Validation
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Solution Overview
Problem
Conventional payment processing systems lack the ability to process detailed transaction data due to legacy hardware limitations, leading to inefficiencies in fraud detection and transaction validation, and are constrained by timing requirements that prevent the integration of additional data without compromising speed.
Innovation Solution
A direct data share system processes transaction metadata in parallel to conventional payment processing systems, validating and correlating it with authorization information to enhance decision-making, while ensuring the process meets or exceeds the speed requirements of existing systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional payment processing systems use limited data for authorization decisions, then processing speed is maintained, but fraud detection accuracy deteriorates
Solution Approach 1:
The system segments the authorization process into two independent parallel paths: a fast path using conventional limited data (card number, amount, merchant ID) for immediate authorization decisions, and a detailed path using extensive transaction metadata (GPS location, device information, purchase history, biometric data) for comprehensive fraud analysis. This segmentation allows each path to operate at its optimal speed without compromising the other.
Solution Approach 2:
The patent introduces an intermediary component that receives and processes detailed transaction metadata separately from the conventional authorization flow. This intermediary analyzes extensive data including device fingerprints, location history, and purchase patterns, then provides fraud risk assessments to the authorization system without blocking the rapid processing of standard transactions.
2Measurement precision
If detailed transaction metadata is processed through conventional systems, then fraud detection improves, but processing time increases
Solution Approach 1:
The system performs preliminary processing of transaction metadata by collecting and pre-analyzing data such as device information, location data, and purchase history before the authorization decision is required. This preliminary action prepares fraud risk assessments in advance, so that when a transaction requires authorization, the detailed analysis is already complete or near-complete, avoiding delays.
Solution Approach 2:
The patent implements continuous collection and processing of transaction metadata in the background, independent of individual transaction cycles. Devices continuously report usage patterns, location data, and purchase history, which are continuously analyzed to build user profiles and detect anomalies. This continuous action ensures that detailed analysis is always available without interrupting the discrete authorization process.
3Adaptability or versatility
If legacy hardware is used in payment processing systems, then system compatibility is maintained, but data processing capability deteriorates
Solution Approach 1:
The patent adds a new dimension to the payment processing architecture by introducing a separate metadata processing layer that operates parallel to the conventional authorization system. This new dimension handles extensive data processing requirements using modern computing capabilities, while the original legacy hardware continues to handle standard authorization transactions as before, maintaining compatibility without limiting processing capacity.
Solution Approach 2:
The system creates a copy of the transaction data flow, separating conventional authorization data from detailed metadata. The metadata copy is processed independently through enhanced analytical routines, allowing the original legacy system to continue operating with its established data structures and protocols, while a parallel copy benefits from advanced processing capabilities.
4Loss of information
If point-of-sale systems are replaced to provide detailed information, then data quality improves, but implementation cost increases
Solution Approach 1:
The patent designs a universal metadata collection framework that can extract detailed transaction information from multiple existing point-of-sale system types without requiring replacement. The system interfaces with various POS hardware and software configurations, device operating systems, and payment terminals to collect metadata including device identifiers, location data, application usage patterns, and purchase details, making the solution applicable across diverse existing infrastructures.
Solution Approach 2:
The system enables devices and point-of-sale systems to automatically provide detailed transaction metadata without manual configuration or replacement. The metadata collection occurs automatically through continuous device monitoring, automatic location tracking, and seamless integration with existing payment applications, eliminating the need for costly hardware upgrades or manual data entry systems.
Data Source
AI summary
Methods, systems, and apparatuses are described herein for the direct sharing and use of transaction data separately from transaction authorization processes. Transaction metadata associated with a transaction may be received and validated. Authorization information corresponding to the transaction may be received. The degree to which the transaction metadata is tested may be based on a predicted time of receipt of the authorization information. The transaction metadata and authorization information may be correlated. A computing device may determine whether to authorize the financial transaction based on the authorization information and the correlated transaction metadata. All or portions of the transaction metadata may be provided to one or more users after the transaction has been authorized or denied.