Dynamic Payment Account Segmentation for Fraud Control
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Solution Overview
Problem
Existing payment account systems face challenges in managing unauthorized transactions, particularly when consumers use their accounts in locations different from their home addresses, as current fraud protection rules may flag legitimate transactions as fraudulent, limiting the account's usage in new regions.
Innovation Solution
A system that identifies payment accounts based on consumer location and modifies usage rules dynamically, allowing accounts to be used in new regions without raising fraud flags, by appending the account to segments associated with the current location and adjusting fraud protection measures accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fraud protection rules are applied to limit unauthorized transactions, then security against fraudulent use is improved, but legitimate transactions in new regions are incorrectly flagged as fraudulent
Solution Approach 1:
The system segments payment accounts into different geographic regions, maintaining separate transaction histories and fraud risk assessments for each region. This allows the system to apply region-specific fraud rules, permitting legitimate transactions in newly visited regions while maintaining strict security for regions with historical fraud patterns.
Solution Approach 2:
The system dynamically changes fraud detection parameters based on the payment account's geographic location. When a transaction is detected in a new region, the system adjusts fraud sensitivity parameters to reduce false positives, while maintaining high security thresholds in regions with established fraud patterns.
2Ease of operation
If usage rules are modified to allow transactions in new regions, then consumer convenience is improved, but security monitoring capability is reduced
Solution Approach 1:
The system implements dynamic fraud protection rules that automatically adjust based on the payment account's current geographic location and travel history. The system dynamically creates temporary permissions for new regions while maintaining ongoing monitoring, allowing convenient travel transactions without permanently reducing security monitoring capability.
Solution Approach 2:
The system continuously monitors transactions in newly permitted regions and uses this feedback to refine fraud detection algorithms. Transaction patterns, amounts, and frequencies are tracked to distinguish legitimate travel spending from potential fraud, maintaining security monitoring capability even as usage rules are relaxed for travel.
Data Source
AI summary
Systems and methods for use in identifying payment accounts to segments are provided. One exemplary method includes receiving a first indicator for a first location from a communication device, where the communication device is associated with a consumer and the consumer is associated with a payment account issued to the consumer by an issuer. The method also includes appending, by a computing device, the payment account to a first segment based on the first location indicator, and causing at least one rule associated with the payment account to be modified where the at least one rule relates to authorization of transactions in a first region including the first location.