Service Security Control via Natural Language Analysis
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Solution Overview
Problem
Current systems for controlling access to services in computing systems are inefficient due to reliance on manual processes and simplistic automated systems, which limit flexibility and accuracy in managing user permissions.
Innovation Solution
A computer-based service security control system that uses natural language analysis and multiple parameters to determine whether a user should be granted access to specific services, utilizing a Large Language Model (LLM) for language analysis and considering user roles, service metadata, and user behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual processes are used for setting security restrictions, then flexibility in tailoring permissions for each user is improved, but time consumption and efficiency deteriorate
Solution Approach 1:
The system enables users to self-serve by automatically analyzing their own access requests using natural language processing. Users can submit access requests with explanations in natural language, and the system automatically evaluates these requests against service parameters and organizational policies, eliminating the need for manual administrator review for routine requests while maintaining flexible, customized permission decisions.
Solution Approach 2:
The patent replaces manual mechanical processes of security administration with an automated computer-based system that uses natural language processing and machine learning algorithms. The system automatically parses user requests, analyzes service parameters, evaluates organizational policies, and makes access decisions without human intervention, substituting the mechanical manual review process with intelligent automated analysis.
2Productivity
If automated computer-based systems are used for security control, then time consumption is reduced, but the complexity of parameters that can be considered deteriorates
Solution Approach 1:
The system achieves multi-functionality by integrating multiple analysis capabilities into a single unified platform. It simultaneously processes natural language requests, analyzes service parameters, evaluates organizational policies, considers user roles and behaviors, and makes access decisions all through one automated system. This universal approach allows the system to handle diverse parameter types without requiring separate specialized systems for each function.
Solution Approach 2:
The system dynamically adapts its analysis depth and parameter consideration based on the specific request context. It can adjust the complexity of evaluation depending on the service type, user role, and request characteristics, allowing it to handle both simple and complex scenarios efficiently without being constrained by fixed procedural limitations.
3Measurement precision
If manual processes are used for updating user permissions, then accuracy in assessing requirements is improved, but time consumption and human error risk deteriorate
Solution Approach 1:
The system incorporates feedback mechanisms where access decisions are continuously evaluated against actual user behavior and service usage patterns. The natural language processing system learns from previous decisions and outcomes, refining its accuracy over time. Feedback loops ensure that permission assessments become increasingly precise while maintaining automated efficiency, as the system adapts based on accumulated data and experience.
Data Source
AI summary
A system for managing access to services in a computing system. The system includes processes to allow users to request access to services, and the automated review of such requests. The system is configured to consider a wide range of factors, including the content of the request and the service requested, information relating to the user, and metadata relating to the service, as well as user behaviours. Natural language analysis is utilised to analyse a user's request for access and the service to which access is requested.