Serverless Authorization Stream Access for Virtual Bank Accounts
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Solution Overview
Problem
Current payment systems face challenges in securely and efficiently processing multi-server electronic communications and verifying metadata associated with virtual bank accounts, particularly in preventing fraud and ensuring compliance with security standards.
Innovation Solution
A receiver processor that utilizes machine-learning models and transaction risk models to verify metadata and implement risk/fraud controls, decouples stored value balances from publicly routable account credentials, and provides a dynamic platform for customizable transaction authorization, enabling real-time payments while protecting sensitive financial information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional payment systems are used for multi-server electronic communications, then system compatibility is maintained, but security and fraud prevention capabilities are insufficient
Solution Approach 1:
The patent replaces traditional mechanical security measures with machine-learning models and risk-based authorization systems. The receiver processor uses machine-learning models to verify metadata and implement risk/fraud controls, substituting conventional security mechanisms with intelligent, adaptive systems that can detect and prevent fraud patterns.
Solution Approach 2:
The patent changes the authorization parameters by implementing dynamic risk-based authorization that adjusts to transaction characteristics. The system modifies authorization decisions based on real-time risk assessment parameters, moving from static security rules to dynamic, parameter-driven security controls.
2Object-affected harmful factors
If stored value balances are coupled with publicly routable account credentials, then system simplicity is maintained, but user protection from fraud is reduced
Solution Approach 1:
The patent segments the account structure by separating stored value balances from publicly routable account credentials. This segmentation creates distinct functional components: the stored value balance remains private while the credential layer handles public interactions, protecting the underlying value from direct exposure to fraud.
Solution Approach 2:
The patent introduces an intermediary layer between stored value balances and public credentials. The receiver processor acts as this intermediary, mediating between the private balance data and public transaction requests, thereby protecting sensitive financial information while enabling necessary transactions.
3Measurement precision
If machine-learning models are implemented for metadata verification, then fraud detection accuracy is improved, but processing time increases
Solution Approach 1:
The patent applies preliminary action by pre-configuring risk parameters and authorization schemas before transactions occur. The system establishes risk thresholds and verification rules in advance, allowing machine-learning models to work with pre-defined parameters rather than analyzing everything from scratch during transaction processing.
Solution Approach 2:
The patent implements feedback mechanisms where transaction results and risk assessments feed back into the machine-learning models. This continuous feedback loop allows the models to learn from actual transaction patterns and improve accuracy over time, reducing the need for overly conservative processing times.
Data Source
AI summary
In one embodiment, a method includes receiving customized schema parameters associated with a request for a customized transaction schema associated with a payment processor from an external server associated with the payment processor by servers of a receiver processor platform, retrieving a pre-configured transaction schema comprising pre-configured schema parameters, generating the customized transaction schema associated with the payment processor by integrating the customized schema parameters into the pre-configured transaction schema, wherein the servers of the receiver processor platform are configured to generate transaction resource configurations based on the customized transaction schema, each transaction resource configuration being configured for processing transaction authorization requests to authorize respective transactions associated with a transfer of resources to a receiving entity from a user associated with the payment processor, and storing the customized transaction schema associated with the payment processor.