AI-Guided Local Admin Rights for Secure Software Installation

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Solution Overview

Problem

Conventional local administrator rights (LAR) management approaches pose security risks and compliance issues due to limited restrictions on software downloads and installations, leading to privilege-related risks such as unapproved software and malware exposure.

Innovation Solution

Implementing user-specific LAR using artificial intelligence techniques to analyze user requests, determine recommendations, and automatically modify and implement LAR access, incorporating approved software libraries and packages while restricting unauthorized access.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If local administrator rights are granted to users to perform system activities, then users can install programs and modify system settings, but security risks and compliance issues arise from unapproved software installations and malware exposure

Engineering Contradiction:
Improveuser ability to install programs and modify system settingsVSAvoidsecurity risks and malware exposure
Core Design Contradiction:
Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The patent applies local quality by transitioning from uniform LAR grants to user-specific, task-specific LAR assignments. Each user receives customized LAR based on their role, department, and specific task requirements, allowing granular control over which users can perform which activities on which systems, thereby maintaining operational capability while reducing security exposure

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent segments LAR into discrete, manageable components that can be individually assigned and revoked. The system breaks down administrator rights into specific permissions (software installation, system modification, network configuration) that can be granted on-demand for specific tasks rather than providing blanket LAR access, thus enabling security control while maintaining operational flexibility

Inventive Principle:
Principle #1Segmentation

2Adaptability or versatility

If conventional LAR management with limited restrictions is used, then users have flexibility to perform activities, but privilege-related risks increase from installation of unapproved software

Engineering Contradiction:
Improveuser flexibility to perform activitiesVSAvoidcompliance and approval status
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements feedback mechanisms where user actions are monitored and evaluated against pre-defined security policies and compliance rules. The system provides real-time feedback on whether requested LAR actions comply with organizational policies, and automatically adjusts LAR grants based on compliance evaluation results, ensuring both user flexibility and regulatory adherence

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent applies preliminary action by pre-configuring security policies, compliance rules, and approval workflows before users attempt LAR actions. The system pre-approves or pre-rejects specific activities based on established criteria, and only grants LAR when preliminary compliance checks pass, thus maintaining user flexibility while ensuring reliability from the outset

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12602516B2Implementing user-specific local administrator rights using artificial intelligence techniques
Publication Date: 2026.04.14 DELL PROD LP
  • US12602516B2 patent drawing
  • US12602516B2 patent drawing
  • US12602516B2 patent drawing

AI summary

An example computer-implemented method provided herein includes obtaining data pertaining to at least one request for local administrator rights (LAR) from a given user; determining one or more recommendations related to the at least one request for LAR by processing at least a portion of the obtained data using one or more artificial intelligence techniques; modifying at least a portion of the LAR associated with the at least one request to encompass at least a portion of the one or more recommendations; and automatically implementing the modified LAR with respect to one or more devices associated with the given user.