Temporary Access Group Membership for Time-Bound Data Access
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Solution Overview
Problem
Conventional systems fail to manage data access in a temporal manner, leading to indefinite access that violates data protection principles and lacks technology enforcement, especially in large-scale data management scenarios.
Innovation Solution
A data-access management system that employs temporal parameters and AI models to dynamically manage access by assigning time constraints to user groups, allowing temporary memberships and access to data resources, thereby adhering to data protection principles and enhancing control over data access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional systems grant data access to users, then data accessibility is improved, but data protection compliance deteriorates due to indefinite access
Solution Approach 1:
The patent implements dynamic access control by assigning temporal parameters (start date, end date, duration) to data access rights. Access permissions are no longer static but dynamically expire after predetermined time periods, allowing the system to maintain both accessibility and compliance automatically.
Solution Approach 2:
The system performs preliminary action by pre-establishing temporal constraints on access rights before data access occurs. The temporal parameters are set in advance, and the system automatically enforces these time limits without requiring continuous manual intervention, thus ensuring compliance from the outset.
2Reliability
If temporary data access is implemented, then data protection compliance is improved, but access management complexity increases
Solution Approach 1:
The system performs self-service by automatically managing temporal access constraints without human intervention. The access control mechanism autonomously tracks time-based parameters, evaluates expiration conditions, and revokes access rights automatically, eliminating the need for manual monitoring and reducing operational complexity.
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor access requests against predefined temporal parameters. When the current time exceeds the authorized duration, the system automatically denies access or revokes permissions, creating a closed-loop control system that simplifies compliance management.
3Productivity
If AI models are used to manage access, then access control efficiency is improved, but system complexity increases
Solution Approach 1:
The patent replaces manual mechanical access control processes with AI-based automated systems. Machine learning models and natural language processing enable the system to automatically interpret access requests, evaluate temporal parameters, and make control decisions without human intervention, significantly improving efficiency despite increased technical complexity.
Data Source
AI summary
In some examples, systems and methods for managing data access are provided. For example, a method includes: receiving a data access request for a user, the data access request including a resource indication of a data resource; providing the user a membership of an access group associated with the data resource; determining a member temporal parameter associated with the data resource based on one or more temporal parameters associated with the access group; and associating the member temporal parameter with the user.