Contextual Transaction Token for Fraud Analysis
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Solution Overview
Problem
Current payment token systems lack the ability to provide contextual information to entities within a transaction processing system, making it difficult for entities like merchants to perform fraud or risk analyses and leading to multiple tokenization layers that further obfuscate account information, complicating transaction processing.
Innovation Solution
A transaction token system that generates and processes tokens with embedded contextual information, including financial institution and consumer/product details, allowing any entity in the transaction system to understand the token's origin, usage restrictions, and validity, thereby reducing the need for communication with central databases and enhancing fraud management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional tokenization is used to protect account information, then security is improved, but contextual information becomes unavailable for fraud analysis
Solution Approach 1:
The token is segmented into multiple components: a token value for security and contextual data fields for information preservation. This segmentation allows the token to simultaneously provide security through obfuscation while maintaining accessibility of contextual information for fraud analysis and transaction processing.
Solution Approach 2:
Contextual information is nested within the token structure itself, embedded alongside the token value. This nested structure allows contextual data to be contained within the token without requiring external databases, enabling self-contained fraud analysis capabilities.
2Reliability
If multiple tokenization layers are applied by different entities, then security is enhanced, but token processing complexity increases
Solution Approach 1:
The token structure is designed with universal contextual data fields that serve multiple functions: fraud analysis, transaction routing, consumer identification, and compliance verification. This multi-functionality eliminates the need for separate tokenization layers for different purposes, as a single token provides all necessary information.
3Measurement precision
If contextual information is embedded in the token, then fraud detection capability is improved, but token size increases
Solution Approach 1:
Different portions of the token are assigned different qualities: the token value portion provides security through obfuscation while the contextual data fields provide information for fraud detection. This local quality differentiation optimizes the token structure for its dual purposes without unnecessary bloat.
4Loss of information
If remote databases are queried for token information, then complete information is obtained, but processing time increases
Solution Approach 1:
Contextual information is prepared and embedded in the token during the tokenization process itself, before the transaction occurs. This preliminary action eliminates the need for real-time database queries during transaction processing, significantly reducing processing time while maintaining information completeness.
Data Source
AI summary
Embodiments of the present invention are directed to methods, systems, apparatuses, and computer-readable mediums for generating and providing a transaction token that may provide contextual information associated with the token. Accordingly, the transaction token may provide any entities within a transaction processing system immediate information about the context in which the token was generated, how the token may be used, and any other information that may be pertinent to processing the token.