Jailed Environment Data Segregation for Multi-Lender Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Consumers face challenges in optimizing financing for commodity purchases due to credit score impact from loan inquiries, lack of integrated communication between sellers and banks, and sub-optimal loan terms, leading to a frustrating buying experience.
Innovation Solution
A multi-lender architecture with a vault that segregates data by lender, using interactive microservices to assess consumer-specific credentials against custom lender-specific requirements, guiding both parties through prequalification, eligibility, and pricing for a seamless purchase process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple lenders access consumer data simultaneously, then loan assessment efficiency is improved, but data security and lender confidentiality are compromised
Solution Approach 1:
The system segments consumer data into multiple encrypted copies, each accessible only to specific lenders through isolated computing environments. The vault divides the consumer's financial profile into lender-specific portions, allowing simultaneous access by multiple lenders without compromising security, as each lender receives only the data segment relevant to their assessment.
Solution Approach 2:
The vault acts as an intermediary between consumers and multiple lenders, managing data distribution and access control. It intermediates the data flow by encrypting consumer information and selectively decrypting it for each lender's computing environment, enabling efficient multi-lender assessment while maintaining security through centralized mediation.
2Adaptability or versatility
If consumer data is shared with multiple lenders, then loan term optimization is improved, but information confidentiality between lenders deteriorates
Solution Approach 1:
Each lender's computing environment is configured with local quality - specific decryption keys and access permissions tailored to that lender's needs. The vault implements different access levels for different lenders, allowing each to view and process consumer data according to their specific lending criteria while preventing access to other lenders' proprietary algorithms and decision-making logic.
Solution Approach 2:
The system segments information access by creating isolated computing environments for each lender. Consumer data is segmented into lender-specific views, and each lender operates in their own encrypted sandbox where they can optimize loan terms using their proprietary methods without exposing their algorithms or criteria to competing lenders.
3Device complexity
If a centralized system processes all lender operations, then system complexity is reduced, but access control and data isolation become more difficult
Solution Approach 1:
The vault implements a universal access control mechanism that handles multiple lenders' operations through a single standardized interface. It provides multi-functional capabilities by managing encryption, decryption, and data distribution for numerous lenders using the same core infrastructure, reducing overall system complexity while maintaining granular access control through standardized protocols.
Data Source
AI summary
The system and methods described herein allow users to give their applicant information to at least one entity when seeking to submit an inquiry associated with an item, and have various lender microservices run in parallel, segregated by entity, in a jailed environment. The result of these microservices may be returned as a response to the inquiry, being determined autonomously for each respective entity based on one or more respective rule sets or executable logic for each respective entity. Payloads for multiple entities may be combined in a single output from the jailed environment due to outputs from the environment being encrypted in a universal format.