Digital Resource Exchange Mitigation Platform
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Solution Overview
Problem
The lack of visibility into resource distributions across entity accounts and digital resource exchanges creates a gap that hinders financial institutions' ability to identify and prevent misappropriation of resources, as digital resource exchanges often do not self-identify, leading to increased risk of loss and non-compliance with guidelines.
Innovation Solution
A system that identifies digital resource exchanges, sets up accounts or wallets on these exchanges, funds them with entity funds, and tracks transactions to tag and categorize accounts involved in digital resource exchanges, allowing for restrictions and monitoring to prevent unauthorized use and potential misappropriation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If digital resource exchanges do not self-identify as exchanges, then they can operate with greater anonymity and flexibility, but financial institutions lose visibility into resource distributions and cannot identify potential misappropriation
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between digital resource exchanges and financial institutions. This intermediary captures transaction data from exchanges, enriches it with identification information, and provides it to financial institutions. The intermediary enables information flow without requiring the exchange itself to self-identify, thus preserving exchange anonymity while providing institutional visibility.
Solution Approach 2:
The system implements feedback mechanisms where transaction data flows from digital resource exchanges through the intermediary back to financial institutions. This feedback loop enables institutions to receive information about resource distributions and potential misappropriation attempts, allowing them to monitor and respond to suspicious activities while the exchange maintains its operational independence.
2Reliability
If financial institutions implement comprehensive monitoring of all transactions, then they can identify potential misappropriation, but system complexity and processing overhead increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-processing and enriching transaction data at the intermediary layer before it reaches financial institutions. Identification information is captured and organized in advance, so when institutions receive the data, it is already structured and annotated with relevant exchange identifiers. This preliminary preparation reduces the complexity of subsequent monitoring and analysis at the institutional level.
Solution Approach 2:
The patent extracts critical identification information from complex transaction streams and separates it for targeted analysis. The intermediary system pulls out key data elements such as exchange identifiers, transaction types, and party information, presenting them in a simplified format to financial institutions. This extraction approach allows institutions to focus monitoring resources on the most relevant information without being overwhelmed by complete transaction complexity.
3Object-affected harmful factors
If financial institutions restrict accounts that transact with digital resource exchanges, then they can prevent potential loss, but they may also block legitimate business activities
Solution Approach 1:
The system applies local quality by implementing differentiated monitoring and restriction policies based on specific transaction characteristics and exchange identifiers. Rather than blanket restrictions on all digital resource exchange transactions, the intermediary provides enriched data that enables institutions to apply restrictions only to specific accounts or transaction types that exhibit suspicious patterns. This localized approach protects against misappropriation while preserving legitimate business activities.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting monitoring intensity and restriction levels based on transaction parameters such as frequency, amount, counterparty identity, and exchange type. The intermediary system enriches transactions with identification data that enables institutions to modify their risk parameters in real-time, applying stricter controls only when transaction parameters indicate potential misappropriation rather than uniform restrictions across all digital exchange transactions.
Data Source
AI summary
Embodiments of the invention are directed to a system, method, or computer program product for probing and identifying unique transaction characteristics associated with digital resource exchange platforms. The system identifies the unique characteristics and stores them as digital resource exchange identifiers capable of being cross-referenced with real-time or stored transaction data from multiple transaction channels in order to intelligently identify transactions involving one or more entity resource accounts and digital resource exchanges. Various decisioning steps are described which may be automated following the identification of a transaction or entity resource account involving one or more digital resource exchanges.