Access Certification Reviewer Selection Using Dynamic Criteria
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Solution Overview
Problem
Conventional identity governance and administration (IGA) tools are inefficient and inflexible in selecting access certification reviewers, leading to a significant burden when managing access privileges for multiple users and resources, and may result in unsuitable or unnecessary access approvals.
Innovation Solution
A software platform that selects access certification reviewers based on user information, using conditional expressions and business logic to determine suitable reviewers for each user, reducing the burden on the organization and enhancing security and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional IGA tools are used for reviewer selection, then the access certification process can be automated, but the tools are inflexible and may select unsuitable reviewers leading to inappropriate access approvals
Solution Approach 1:
The system dynamically selects reviewers based on multiple adjustable criteria including user attributes, resource types, and organizational hierarchy. The selection process adapts to different users and resources by evaluating multiple factors and selecting the most appropriate reviewer from a pool of candidates, rather than using a fixed or single-criterion approach.
2Reliability
If manual reviewer selection is performed for each user, then suitable reviewers can be identified, but the burden on the organization is considerable
Solution Approach 1:
The system pre-establishes a pool of potential reviewers and pre-defines selection criteria and weighting factors. When access certification is needed, the system quickly evaluates users against these pre-configured parameters and automatically selects the most suitable reviewer, eliminating the need for manual selection while maintaining high quality standards.
3Ease of operation
If a single reviewer is assigned to certify access for multiple users, then the process is simplified, but the reviewer burden increases significantly
Solution Approach 1:
The system segments the reviewer workload by distributing certification tasks across multiple reviewers based on user attributes and reviewer expertise. Instead of assigning all users to a single reviewer, the system divides the user population into different groups and assigns each group to the most suitable reviewer, thereby reducing the burden on any single reviewer while maintaining process simplicity through automated allocation.
Data Source
AI summary
Methods, systems, and devices for discounting extensibility latency are described. A software platform may identify a first time period of a campaign to certify access to one or more resources for a plurality of users. The software platform may determine, for each user of the multiple of users, one or more criteria associated with the campaign that are satisfied by respective information associated with each user. The software platform may select, for each user of the multiple users, a reviewer to certify access to the one or more resources for a respective user based on the one or more criteria.