Dynamic Community Generator for Entitlement Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional methods for monitoring and controlling access to resources within organizations are inefficient and resource-intensive, particularly in large organizations with numerous employees and complex entitlement combinations, leading to management challenges, security risks, and compliance issues due to legacy entitlements and poor monitoring of entitlement distribution.
Innovation Solution
A system dynamically determines communities within an organization based on entitlement distribution, using a processing device to compute correlation numbers and generate correlation matrices to identify appropriate entitlements, mark uncommon or normal entitlements, and automatically manage their distribution, thereby optimizing entitlement management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional manual techniques are used to monitor and control entitlement distribution, then access control can be maintained, but significant organizational resources are consumed and management becomes inefficient
Solution Approach 1:
The system automatically monitors and controls entitlement distribution without requiring manual intervention. The processor autonomously determines communities based on entitlement data, identifies uncommon entitlements, and generates reports, allowing the system to serve itself rather than requiring continuous human resource investment.
Solution Approach 2:
The patent replaces manual mechanical review processes with an automated computer-based system. The processor uses algorithmic analysis of entitlement data to identify patterns and uncommon entitlements, substituting human administrative work with automated computational processes.
2Reliability
If comprehensive entitlement monitoring is implemented across all members, then security risks and compliance issues can be detected, but the complexity and resource requirements increase significantly
Solution Approach 1:
The system extracts and focuses on identifying only the uncommon entitlements that deviate from community norms, rather than manually reviewing all entitlements. By isolating the exceptional cases through correlation analysis, the system reduces monitoring complexity while maintaining comprehensive security coverage.
Solution Approach 2:
The patent introduces an intermediary processing layer that analyzes entitlement data and generates community correlations. This intermediary system acts as a mediator between raw entitlement data and security decisions, simplifying the monitoring process by pre-processing and structuring the data before compliance checks.
3Reliability
If manual review of entitlement combinations is performed, then access control can be maintained, but the time and resources required become unsustainable for large organizations
Solution Approach 1:
The system performs preliminary analysis by determining community correlations and identifying uncommon entitlements before formal access control decisions are made. This advance processing prepares the data structure and highlights potential issues, enabling faster and more accurate entitlement management.
Solution Approach 2:
The patent creates a computational model or copy of the entitlement distribution patterns through correlation matrices. By working with this replicated representation rather than raw individual entitlement data, the system can efficiently analyze and control access without processing every single entitlement combination manually.
Data Source
AI summary
Embodiments of the invention are directed to systems, methods, and computer program products configured to determine communities within an organization dynamically based on the distribution of entitlements within the organization.