Integration System for Secure Distributed Operations in Banking
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Solution Overview
Problem
Conventional systems and architectures in various settings, such as the banking industry, often inhibit the adoption and efficient operation of new approaches due to outdated security, data redundancy, and communication inefficiencies.
Innovation Solution
An integration system is configured to define a first network of computer systems with established communication protocols and security requirements, enabling distributed operations that can be seamlessly integrated into existing digital banking systems, enhancing security, data redundancy, and communication efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional systems and architectures are used, then existing digital banking systems can maintain their current structure, but new functionalities cannot be efficiently adopted and integrated
Solution Approach 1:
The patent introduces an integration system as an intermediary layer between existing digital banking systems and new distributed operations. This integration system translates requests from conventional systems into distributed operations and vice versa, enabling new functionalities to be adopted without modifying the core architecture of existing systems. The intermediary absorbs the complexity of integration while maintaining the simplicity of both legacy and new systems.
2Adaptability or versatility
If distributed operations are integrated into existing systems, then functionality and versatility improve, but security requirements and communication protocols become more complex
Solution Approach 1:
The integration system serves as a security intermediary that handles authentication, authorization, and communication protocol translation. It absorbs the complexity of security requirements by providing a unified security layer that simplifies access control and data protection for both existing and new systems.
Solution Approach 2:
The system segments security and communication functions into separate modular components within the integration system. This allows security protocols to be implemented as independent modules that can be selectively applied to different distributed operations, reducing the overall complexity burden on the main system architecture.
3Ease of operation
If transparent integration is achieved, then user experience is maintained, but the computational burden on existing systems increases
Solution Approach 1:
The integration system acts as a computational intermediary that offloads processing tasks from existing digital banking systems. It translates simple user interface requests into optimized distributed operations, reducing the computational burden on legacy systems while maintaining transparent user experience.
Solution Approach 2:
The system implements partial computation by only performing necessary computational tasks in the distributed operations layer, while existing systems maintain their original computational logic. The integration system performs excessive translation and coordination work to ensure transparent integration, thereby protecting existing systems from increased computational demands.
Data Source
AI summary
An integration system is provided that defines a first network of computer systems and within the first network establishes communication protocols and security requirements. The architecture includes a layered data model, where the architecture and/or model enable improvement over conventional security, data redundancy, and further improves communication/execution efficiency over various conventional systems, approaches, and databases. The first network can be tailored to perform distributed operations on behalf of end-users, and for example, integrate the distributed operations transparently into existing systems, so that the new functionality is seamless and indistinguishable from native data/database operations from the end-user perspective. The data model can be configured to associate layers of the model with respective systems and distribute the operations such that real world analogs for the data are held across many systems (e.g., specific systems in the architecture).