Multi-Engine Login Authentication Orchestrator
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Solution Overview
Problem
Existing security measures struggle to accurately differentiate between human and bot login attempts, leading to false positives and false negatives, which can result in illegitimate access to user accounts.
Innovation Solution
The implementation of a system that utilizes two or more automated decision engines, each applying a unique ruleset, to evaluate the authenticity of login requests, with a central orchestrator consolidating the determinations to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security measures are used to assess login authenticity, then the system can block obvious bot attempts, but false positives and false negatives occur frequently
Solution Approach 1:
The security evaluation system is divided into multiple independent automated decision engines, each responsible for evaluating specific login request characteristics using dedicated rulesets. This segmentation allows each engine to specialize in detecting particular bot behaviors while maintaining overall system reliability through collective evaluation.
Solution Approach 2:
Multiple automated decision engines are merged into a unified security evaluation system where their individual determinations are consolidated. The combination of multiple independent evaluations reduces false positives and false negatives by cross-validating results across different engines with diverse rulesets.
2Measurement precision
If a single automated decision engine is used to evaluate login requests, then the system is simple to operate, but measurement precision of bot detection is insufficient
Solution Approach 1:
The detection system is segmented into multiple automated decision engines, each applying specialized rulesets to evaluate different aspects of login request authenticity. This segmentation improves measurement precision by distributing detection expertise across multiple specialized evaluators rather than relying on a single general-purpose engine.
Solution Approach 2:
Different automated decision engines apply different rulesets with varying evaluation parameters and criteria. By changing the parameters and rules applied to login request evaluation across multiple engines, the system achieves higher measurement precision through diverse evaluation perspectives.
3Reliability
If multiple automated decision engines are deployed to improve detection accuracy, then false positives and false negatives are reduced, but system complexity increases
Solution Approach 1:
The system segments authentication reliability into multiple independent evaluation components, each contributing to the overall decision. This segmentation maintains reliability by ensuring that no single point of failure can compromise the entire system, while the modular structure manages complexity through clear separation of concerns.
Solution Approach 2:
An intermediary consolidation mechanism aggregates the determinations from multiple automated decision engines. This intermediary layer manages the complexity of coordinating multiple engines by providing a unified interface that combines their outputs, thereby maintaining system reliability without exposing the full complexity to external systems.
Data Source
AI summary
Systems, methods, and apparatuses for authenticating requests to access one or more accounts over a network using authenticity evaluations of two or more automated decision engines are discussed. A login request for access to a user account may be submitted to multiple decision engines that each apply different rulesets for authenticating the login request, and output an evaluation of the authenticity of the login request. Based on evaluations from multiple automated decision engines, the login request may be allowed to proceed to validation of user identity and, if user identity is validated, access to the user account may be authorized. Based on the evaluations, the login attempt may also be rejected. One or more additional challenge question may be returned to the computing device used to request account access, and the login request allowed to proceed to validation of identity if the response to the challenge question is deemed acceptable.