Threat Mitigation Platform for Payment Fraud Detection
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Solution Overview
Problem
Existing payment systems struggle to detect and mitigate social engineering schemes, as there are few technological signals that can warn users of imminent illegitimate payments or provide relevant information about payees.
Innovation Solution
A threat mitigation platform that receives payment information from a payment product application, analyzes it using a threat analysis engine, generates a threat identifier, and queries a threat repository to communicate relevant information back to the payment product application, thereby preemptively warning users or blocking illegitimate payments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If payment systems implement traditional authorization methods, then payment processing speed is maintained, but detection capability for social engineering schemes remains insufficient
Solution Approach 1:
The patent introduces a threat mitigation platform as an intermediary component between the payment product application and the payment network. This platform receives payment information, analyzes it against known threat indicators, and returns authorization decisions. The intermediary layer enables sophisticated fraud detection without requiring fundamental changes to the core payment processing architecture, thus improving detection capability while managing system complexity through modular design.
Solution Approach 2:
The system performs preliminary analysis of payment information against a repository of known threat indicators before authorization is granted. By proactively checking payment details against stored threat patterns (such as social engineering schemes), the system prevents fraudulent transactions from reaching the payment network. This preliminary action enables detection and prevention of fraud while maintaining efficient payment processing through automated decision-making.
2Reliability
If payment systems provide real-time analysis of payment information, then user protection is improved, but processing time increases
Solution Approach 1:
The patent replaces manual or mechanical payment authorization processes with automated computer-based analysis. The threat mitigation platform automatically compares payment information against stored threat indicators using digital pattern recognition and data processing. This substitution of mechanical systems with automated digital systems enables real-time analysis and decision-making, improving user protection while minimizing processing time through high-speed computational operations.
Solution Approach 2:
The system maintains continuous operation by continuously monitoring payment information streams and continuously updating threat indicator databases. The automated analysis process operates without interruption, providing constant protection while maintaining fast processing speeds. The continuous nature of the analysis allows the system to respond immediately to payment transactions without delays associated with batch processing or manual review.
3Loss of information
If payment systems provide detailed information about payees to users, then user awareness is improved, but information overload increases
Solution Approach 1:
The patent applies local quality by providing targeted information to users only when and where it is most relevant. Instead of displaying comprehensive payee information universally, the system selectively presents threat-related information (such as warnings about social engineering schemes) only when analysis identifies potential fraud. This localized information delivery improves user awareness of critical issues while avoiding information overload by suppressing irrelevant data during normal transactions.
Solution Approach 2:
The system implements feedback mechanisms that provide users with specific information about payee legitimacy based on real-time analysis results. When the threat mitigation platform identifies potential fraud, it feeds back warning information to the user through the payment application interface. This targeted feedback approach ensures users receive critical information about payee reliability without being overwhelmed by unnecessary data, as the feedback is triggered only by detected threats rather than providing comprehensive payee details routinely.
Data Source
AI summary
In some aspects, the techniques described herein relate to a method including: receiving, at a threat mitigation platform, payment information from a payment product application; providing the payment information to a threat analysis engine of the threat mitigation platform as input to the threat analysis engine; generating, as output of the threat analysis engine and based on the payment information, a threat identifier; querying, by an authorization engine, a threat repository using the threat identifier as a lookup key; receiving, by the authorization engine and from the threat repository, information associated with the threat identifier; and communicating the information associated with the threat identifier to the payment product application.