Multi-layer Authentication with Live Interaction and Risk Scoring
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Solution Overview
Problem
Current user authentication systems are vulnerable to fraudulent activities as they rely solely on provided information, which can be compromised or falsified, leading to unauthorized access and transactions.
Innovation Solution
Implementing a multi-layer user authentication system that evaluates contextual information, such as geography and communication channel features, to trigger additional authentication layers, including live video sessions, and utilizes machine learning to generate risk scores for determining the legitimacy of user requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional single-layer authentication is used, then the authentication process is simple and fast, but the system is vulnerable to fraudulent activities and unauthorized access
Solution Approach 1:
The authentication process is divided into multiple distinct layers: initial authentication based on provided information, contextual information collection and analysis, risk score generation, and conditional live interaction authentication. Each layer operates independently and contributes to the overall security assessment, allowing the system to maintain simplicity for low-risk cases while providing enhanced security for suspicious cases.
Solution Approach 2:
The authentication system dynamically adjusts its complexity based on the risk score generated from contextual information analysis. For low-risk authentication requests, the system maintains a simple process. For high-risk requests, the system automatically triggers additional authentication layers including live video sessions and photo ID verification, making the complexity adaptive rather than static.
2Reliability
If multiple authentication layers are implemented, then fraudulent transactions are reduced, but the authentication process time increases
Solution Approach 1:
The system performs preliminary contextual information collection and analysis during the initial authentication phase, gathering data about the user's location, device characteristics, communication patterns, and other relevant factors before the authentication decision is made. This preliminary assessment allows the system to quickly determine whether additional authentication layers are necessary, avoiding time-consuming processes for low-risk cases.
Solution Approach 2:
The system continuously monitors authentication outcomes and fraud patterns, using this feedback to refine risk scoring algorithms and adjust authentication requirements. The contextual information collected during each authentication attempt is fed back into the system to improve future risk assessments, making the authentication process increasingly efficient and accurate over time.
3Measurement precision
If contextual information analysis is performed, then risk assessment accuracy is improved, but the computational resources required increase
Solution Approach 1:
The system performs contextual information analysis selectively rather than universally. It collects and analyzes only the minimum necessary contextual data required to generate a meaningful risk score for each specific authentication request. The depth and breadth of contextual analysis are adjusted based on the apparent risk level, avoiding excessive computational resources being consumed for low-risk cases while maintaining high accuracy for suspicious cases.
Data Source
AI summary
Systems and techniques for multi-layer user authentication with live interaction are described herein. An authentication request may be received from a user for secure data stored in a computing system. Contextual data may be received that is associated with authentication information received from the user. It may be determined that the user has passed a first authentication process based on a match between the authentication information and reference authentication information stored in a user profile for the user. A risk score may be generated for the authentication request based on the contextual data and the authentication data. A second authentication process may be identified based on the risk score. A set of secondary authentication information may be received. Data associated with the authentication request may be transmitted upon authentication of the user via the second authentication process based on the set of secondary authentication data.