Role History Analysis for Dynamic Access Control
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Solution Overview
Problem
Existing systems for performing security assessments in computing environments lack the ability to effectively detect inconsistencies in role data, leading to potential unauthorized access and inadequate security measures.
Innovation Solution
An access-control computing system that receives an access request data structure from a client computing system, identifies the roles held by a target entity, compares these roles with role history data from a secure identity repository, and generates a dynamic access-control data structure to assess security risks and facilitate further security measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated role data comparison is implemented, then security assessment accuracy is improved, but system complexity increases
Solution Approach 1:
The patent introduces an access-control computing system as an intermediary between client computing systems and secure identity repositories. This mediator automatically compares role data from multiple sources, detects inconsistencies, and generates security assessments, thereby improving measurement precision while managing system complexity through centralized automation.
Solution Approach 2:
The patent replaces manual security assessment processes with automated computing systems that perform role data comparison and inconsistency detection. This substitution of mechanical/manual operations with automated computational processes improves assessment accuracy while the systematic automation actually reduces operational complexity despite increasing technical system complexity.
2Measurement precision
If comprehensive role history data is collected from multiple sources, then detection precision is improved, but information processing complexity increases
Solution Approach 1:
The access-control computing system is designed to perform multiple functions: collecting role data from various contributor computing systems, storing it in a secure identity repository, comparing it with access requests, detecting inconsistencies, and generating security assessments. This multi-functional approach improves detection precision by comprehensively analyzing role history data while managing processing complexity through a unified system.
3Speed
If real-time access control assessment is performed, then security response speed is improved, but computational load increases
Solution Approach 1:
The patent implements preliminary action by pre-collecting and storing role history data in secure identity repositories before access requests are made. When access requests arrive, the system performs rapid comparisons against pre-stored data, enabling real-time security assessments with reduced computational load during critical decision-making moments.
Data Source
AI summary
Various aspects of the present disclosure involve computing environments that provide third-party access-control support. For instance, an access-control computing system can access a secure identity repository having role history data from various contributor computing systems. The access-control computing system can compare an identified set of roles with a set of roles described by role history data for a target entity. The access-control computing system can determine, from the comparison, whether the target entity poses a security risk based on inconsistencies between the sets of roles, durations associated with the roles, or both. The access-control computing system can provide a client computing system with a dynamic access-control data structure that is generated based on the comparison. The dynamic access-control data structure allows the client computing system to output the security assessment to an end user or to otherwise facilitate further security measures with respect to the target entity.