Access-Control Group Management via User Access Pattern Analysis
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Solution Overview
Problem
IT administrators face challenges in managing access-control groups due to the need for continuous updates as user job functions change, leading to stale groups and increased administrative burdens.
Innovation Solution
A system and method that organize users into access-control groups based on shared-resource access patterns and preexisting access-control group organizational efforts, involving tracking, analyzing, identifying, comparing, and organizing users into appropriate groups using modules like tracking, analyzing, identification, comparison, and organization modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If access-control groups are manually maintained to ensure accurate resource access, then access control accuracy is improved, but administrative workload and complexity increase
Solution Approach 1:
The system automatically discovers access patterns by analyzing user behavior data and autonomously creates or updates access-control groups without requiring manual administrator intervention. The access-control system serves itself by monitoring, analyzing, and organizing users based on their actual resource access patterns, eliminating the need for continuous manual maintenance while ensuring accurate access controls.
Solution Approach 2:
The system continuously monitors user access patterns to resources and uses this feedback to dynamically adjust access-control group memberships. By analyzing actual usage data and comparing it against current access controls, the system automatically identifies mismatches and creates appropriate groups, creating a closed-loop system that self-corrects and adapts to changing user needs without manual input.
2Reliability
If access-control groups are frequently updated to reflect changing user roles, then access control accuracy is improved, but time consumption increases
Solution Approach 1:
The system automatically discovers access patterns by analyzing user behavior data and autonomously creates or updates access-control groups without requiring manual administrator intervention. The access-control system serves itself by monitoring, analyzing, and organizing users based on their actual resource access patterns, eliminating the need for continuous manual maintenance while ensuring accurate access controls.
Solution Approach 2:
The system operates continuously to monitor user access patterns and maintain accurate access-control groups without interruption. By continuously analyzing usage data and automatically adjusting group memberships in real-time, the system ensures access control accuracy is always current without requiring periodic manual updates, eliminating downtime and administrative time loss.
3Reliability
If detailed access pattern tracking is implemented, then access control accuracy is improved, but system complexity and resource requirements increase
Solution Approach 1:
The system extracts only the essential access pattern information needed for effective group formation from the vast amount of user behavior data. By focusing on key access events and filtering out redundant information, the system maintains high access control accuracy while minimizing the complexity of data collection and processing requirements.
Solution Approach 2:
The system dynamically adjusts the level of detail in access pattern tracking based on actual needs. By changing parameters such as the granularity of data collection and the threshold for group formation, the system optimizes the balance between access control accuracy and system complexity, adapting to different organizational requirements without unnecessary resource consumption.
Data Source
AI summary
A computer-implemented method for managing access-control groups. The method may include (1) tracking users' access patterns to one or more shared resources, (2) analyzing the users' access patterns to identify a cluster of users who exhibit similar access patterns to the one or more shared resources, (3) identifying a preexisting access-control group to which one or more of the users is assigned, (4) comparing the preexisting access-control group to the cluster of users, and (5) organizing, based on the comparison, one or more of the users into one or more access-control groups. Various other methods, systems, and computer-readable media are also disclosed.