AI-Managed Virtual Card Numbers for Secure Element Payments
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Solution Overview
Problem
Existing credit card security systems lack customization capabilities and are not suitable to safeguard personal account numbers (PAN) effectively, leading to increased rates of theft and fraud.
Innovation Solution
An AI-driven system generates, provisions, and manages virtual card numbers (VCNs) for secure transactions, monitoring usage and automatically removing unused VCNs to enhance security and optimize memory usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If virtual card numbers are generated and managed manually, then customization capabilities are limited, but system complexity and security risks increase
Solution Approach 1:
The AI system automatically generates, monitors, and manages virtual card numbers without requiring manual user intervention. The system self-provides customized VCNs based on user behavior patterns and automatically removes unused cards, eliminating the need for complex manual management while maintaining high customization capabilities.
Solution Approach 2:
The system continuously monitors usage patterns of virtual card numbers and uses this feedback to dynamically adjust card generation, activation, and removal decisions. This closed-loop feedback mechanism enables adaptive customization while simplifying system operation through automated responses to usage data.
2Ease of operation
If all virtual card numbers are kept indefinitely, then ease of operation is improved, but memory usage and security risks worsen
Solution Approach 1:
The system proactively identifies and removes unused virtual card numbers before they consume valuable memory resources. By monitoring usage patterns and automatically deleting inactive cards, the system prevents memory bloat while maintaining seamless operation for active users.
Solution Approach 2:
The system automatically discards unused virtual card numbers to optimize memory usage while recovering the ability to generate new customized cards as needed. This dynamic discarding mechanism ensures efficient resource utilization without impacting user experience.
3Reliability
If manual monitoring of card usage is performed, then control over card removal is improved, but time consumption and productivity worsen
Solution Approach 1:
The AI system autonomously monitors card usage patterns and automatically executes removal decisions without requiring manual user intervention. This self-service approach maintains reliable control over card management while eliminating time-consuming manual monitoring tasks.
Solution Approach 2:
The system continuously monitors card usage and immediately executes removal actions for inactive cards, ensuring uninterrupted and timely management. This continuous automated action eliminates the delays associated with manual monitoring while maintaining precise control over which cards are removed.
Data Source
AI summary
Techniques for artificial intelligence (AI) initiated generation of tokens with controls are provided. Systems and methods disclosed herein utilize cloud-based systems integrated with a virtual card platform to deliver controllable virtual card payment methods to a user device's secure element for in-personal or terminal payments. Systems and methods for management of virtual card numbers are also provided.


