Automated File Access Control Using Natural Language Analysis
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Solution Overview
Problem
Existing file security control systems are inefficient due to reliance on human intervention, which leads to errors and excessive broad access, while automated systems are often too simplistic to handle complex access provisions.
Innovation Solution
A computer-based file security control system that utilizes natural language analysis and multiple parameters to determine whether a user should be granted access to files, using a Large Language Model (LLM) to compare user requests with file content and metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human intervention is used to control file access, then access decisions can be made with contextual understanding, but the process becomes inefficient and error-prone
Solution Approach 1:
The patent replaces the mechanical human review process with an automated computer-based system that uses natural language processing and machine learning algorithms to evaluate access requests. The system automatically analyzes user profiles, file metadata, and organizational policies to make access control decisions, eliminating the need for manual human intervention while maintaining accurate contextual understanding.
Solution Approach 2:
The system enables self-service access control by allowing users to submit access requests with natural language descriptions of their needs. The automated system then independently evaluates these requests against stored policies and user profiles, making decisions without requiring human approval. This self-service mechanism improves efficiency while maintaining reliable access control through automated policy enforcement.
2Productivity
If automated systems are used to control file access, then processing efficiency improves, but the systems become too simplistic to handle complex access provisions
Solution Approach 1:
The patent implements parameter changes by allowing the access control system to dynamically adjust its evaluation criteria based on the complexity of the access request and the organizational context. The system can modify its analysis depth, consider different policy weights, and adapt its decision-making parameters to handle both simple and complex access provisions effectively, maintaining versatility while preserving automated processing efficiency.
Solution Approach 2:
The system introduces dynamics by enabling flexible, adaptive access control policies that can change based on contextual factors. The automated system dynamically evaluates requests considering multiple parameters such as user role, file sensitivity, time-based restrictions, and organizational hierarchy. This dynamic approach allows the system to handle complex access provisions without sacrificing processing efficiency, as the complexity is managed through programmable logic rather than manual review.
3Measurement precision
If users manually review each access request, then detailed consideration of parameters is possible, but significant time is consumed and errors occur
Solution Approach 1:
The patent replaces the time-consuming manual review process with automated computer-based evaluation that uses natural language processing to understand access requests. The system automatically extracts relevant parameters, compares them against stored policies, and makes decisions without human intervention. This substitution eliminates time loss while maintaining precise parameter evaluation through sophisticated automated algorithms that can process multiple parameters simultaneously and consistently.
Solution Approach 2:
The system ensures continuity of useful action by operating continuously without interruption. The automated access control system processes requests 24/7 without the time losses associated with human availability, breaks, or fatigue. The continuous automated evaluation maintains consistent and accurate parameter measurement while eliminating the time consumption inherent in manual review processes.
4Ease of operation
If access restrictions are applied to minimum set of files, then human review burden is reduced, but access becomes excessively broad
Solution Approach 1:
The patent replaces manual access control with automated systems that precisely evaluate each access request against comprehensive policies. The automated system can identify and restrict access to specific files based on detailed criteria such as file type, content sensitivity, user role, and organizational context. This substitution maintains ease of operation through automated decision-making while preventing excessive access breadth by systematically enforcing granular security policies without human intervention.
Data Source
AI summary
A system for managing access to objects in a computing system. The system includes processes to allow users to request access to objects, 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 object requested, information relating to the user, and metadata relating to the document, as well as user behaviours. Natural language analysis is utilised to analyse a user's request for access and the object to which access is requested.