Identity Confidence Scoring System for Financial Inclusion
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Solution Overview
Problem
Identity verification systems in developing countries are inadequate due to the lack of identification documents and financial networks, making it difficult for residents to engage in financial transactions, which is a challenge for both individuals and institutions.
Innovation Solution
A method and system for establishing an identity confidence scoring system that gathers and updates identity information from various sources, both physical and remote, to generate a confidence score for customers, enabling them to participate in financial transactions by assessing the reliability of provided identification and transaction history.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional identity verification methods are used in developing countries, then financial institutions can maintain security and compliance, but residents without identification documents cannot access financial services
Solution Approach 1:
The patent changes the verification parameters from requiring formal identification documents to using alternative parameters such as mobile phone numbers, biometric data, and transaction behavior patterns. This allows residents without traditional ID documents to be verified through different measurable attributes that are more readily available in developing countries.
Solution Approach 2:
The system introduces an intermediary identity confidence scoring mechanism that bridges the gap between unverified residents and financial institutions. Rather than requiring direct document verification, the system uses a scoring algorithm that aggregates multiple weak signals (mobile usage, transaction patterns, social connections) to create a reliable identity assessment.
2Measurement precision
If identity information is gathered from multiple sources to improve verification accuracy, then identity confidence scores become more reliable, but system complexity increases
Solution Approach 1:
The patent segments the identity verification system into modular components: data collection modules from different sources, processing modules for different data types, and scoring modules for different confidence levels. This segmentation allows the system to gather comprehensive information while maintaining manageable complexity through organized, independent functional units.
Solution Approach 2:
The system employs a universal identity confidence scoring framework that can process multiple types of data sources (mobile phone data, biometric information, transaction records, social network data) through a common algorithmic structure. This multi-functional approach enables accurate verification without requiring separate complex systems for each data type.
Data Source
AI summary
The invention provides various systems and methods for establishing an identity confidence scoring system. The method includes gathering identity information about the customers from physical locations and from remote locations. The method updates the identity profiles with the gathered identity information, and based on the gathered identity information, generates an identity confidence score associated with each identity profile.