Automated Access Rights Engine Using ML Clustering
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Solution Overview
Problem
Current access right management systems are reactive and inefficient, often requiring multiple requests for access, leading to delays and potential security risks, especially in time-sensitive situations.
Innovation Solution
An automated proactive system using a machine learning model to match users with similar characteristics to identify necessary resources and automatically request access, with the ability to update the model based on responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual access request processes are used, then security control is maintained, but time consumption and operational efficiency increase
Solution Approach 1:
The system performs preliminary actions by proactively identifying and requesting access rights before they are actually needed. The automated system monitors resource usage patterns and anticipates access requirements, submitting access requests in advance of manual processes, thereby reducing time consumption while maintaining security control through pre-approval workflows.
Solution Approach 2:
The system enables self-service by allowing the automated access management system to independently identify access requirements, submit requests, and update access rights without continuous human intervention. The system monitors its own performance and automatically adjusts access allocations based on observed usage patterns, reducing time consumption while maintaining security through embedded approval workflows.
2Adaptability or versatility
If multiple access requests are submitted manually, then comprehensive access rights are obtained, but process complexity and effort increase
Solution Approach 1:
The system merges multiple separate access requests into a single automated comprehensive request. By consolidating access requirements for multiple resources into one unified process, the system reduces process complexity and effort while maintaining comprehensive access rights through centralized management and coordination of all access needs.
Solution Approach 2:
The system creates a universal access management mechanism that handles diverse access requirements across multiple resources through a single standardized process. This multi-functional approach eliminates the need for separate manual requests for each resource, reducing process complexity while ensuring comprehensive access rights are obtained through a unified automated system.
3Reliability
If reactive access management is used, then security approval is ensured, but operational efficiency and timeliness deteriorate
Solution Approach 1:
The system performs preliminary actions by proactively identifying and securing access rights before they are actually needed for operations. By anticipating access requirements and obtaining approvals in advance, the system transforms reactive access management into a proactive process, thereby improving operational efficiency and timeliness while maintaining security approval through pre-established workflows.
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor resource usage patterns and automatically adjust access allocations. By incorporating real-time feedback loops, the system dynamically optimizes access rights based on actual needs, improving operational efficiency while maintaining security approval through continuous monitoring and adaptive adjustment of access policies.
Data Source
AI summary
A method may include accessing digital characteristics associated with a user identifier, the digital characteristics including a task identifier assigned to the user identifier; encoding the digital characteristics into components of an input vector, the components of the input vector corresponding to inputs of a machine learning model; inputting the input vector into the machine learning model; executing the machine learning model; subsequent to the executing, accessing an output of the machine learning model, the output corresponding to a cluster identifier associated with a plurality of user identifiers with similar digital characteristics; and automatically transmitting a request to change a resource access right for the user identifier based on access rights associated with the cluster identifier.