Multi-Attestation Framework for Normalized Access Control
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Solution Overview
Problem
Managing digital environments with multiple endpoints is complex due to the challenges of maintaining robust, scalable, and efficient security systems, particularly in cloud landscapes where different service providers have proprietary authentication and authorization solutions that do not integrate seamlessly, leading to complications in identity and access management.
Innovation Solution
A multi-process attestation framework utilizing a Python-based application framework with queuing theory principles to manage access control, normalize fragmented objects, and ensure timely processing through a task manager that controls worker nodes for horizontal and vertical scaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proprietary authentication and authorization solutions from different service providers are used, then each provider can maintain their own security standards and control, but integration between partitions becomes difficult and system complexity increases
Solution Approach 1:
The patent introduces an intermediary attestation framework that sits between different service provider partitions and their proprietary IAM systems. This framework translates and harmonizes authentication and authorization data from multiple providers into a unified format, enabling cross-partition access control without requiring direct integration between proprietary systems. The intermediary layer maintains security controls while simplifying integration complexity.
2Reliability
If traditional IAM systems are used to manage access control, then access management can be maintained, but processing timeliness deteriorates due to excessive metadata processing
Solution Approach 1:
The patent extracts and separates critical access control attributes from the bulk metadata processed by traditional IAM systems. By identifying and isolating the essential attributes needed for access decisions, the system processes only these extracted elements rather than entire metadata sets, reducing processing time while maintaining access control reliability.
Solution Approach 2:
The patent segments the access control process into distinct stages: metadata collection, attribute extraction, attestation verification, and access decision. This segmentation allows parallel processing of different metadata elements and focuses computational resources on critical path operations, significantly reducing overall processing time while maintaining comprehensive access control.
3Reliability
If comprehensive access control is implemented across all digital assets, then security is improved, but system complexity and cost increase
Solution Approach 1:
The patent implements a universal attestation framework that can handle multiple types of digital assets, service providers, and authentication methods through a single unified system. This multi-functional approach consolidates what would otherwise require multiple separate access control systems, reducing overall complexity while maintaining comprehensive security across all digital assets.
Data Source
AI summary
A system and method are provided for managing access regimes. The illustrative method includes generating a first set of tasks to retrieve target properties from a data element as a plurality of fragmented objects, and assigning the tasks to a queue. Nodes perform tasks in the queue. The method includes generating a second set of tasks to process the plurality of fragmented objects into a normalized data structure, and assigning them to the queue. At least some nodes are configured to normalize a respective fragmented object of the second set of tasks into the normalized data structure, and update the queue. The method includes generating a third task to generate a final normalized data structure for the data element, and generating the final normalized data structure by aggregating the normalized fragmented objects processed by the nodes.