Cloud Platform Sandboxed Customer Data Access
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Solution Overview
Problem
Companies face challenges in allowing customers to analyze and process large amounts of data collected during jobs, as customers lack sophisticated computer programs and computing resources, and are restricted from accessing proprietary algorithms and data due to security concerns.
Innovation Solution
A cloud computing platform that enables customers to deploy and execute code with well-defined security boundaries, allowing access to proprietary algorithms and data while utilizing the business entity's computing resources, using a sandbox model to control access and protect intellectual property.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If customers are given unrestricted access to proprietary data and algorithms, then they can analyze and process data effectively, but security and intellectual property protection are compromised
Solution Approach 1:
The patent introduces a cloud-based platform as an intermediary between the business entity's proprietary data/algorithms and the customer's analysis needs. The platform provides controlled access through sandboxed environments, allowing customers to execute their own code against proprietary data without direct access to the underlying systems. This resolves the contradiction by enabling data accessibility through the intermediary platform while maintaining security through isolation mechanisms.
Solution Approach 2:
The system segments access rights and computational environments into isolated sandboxes for each customer. Each customer operates in their own secure environment with controlled access to specific datasets and algorithms. This segmentation allows multiple customers to simultaneously access proprietary resources without compromising overall security, as each segment is independently protected.
2Adaptability or versatility
If customers develop their own computer programs to process data, then they can customize analysis to their needs, but the complexity and cost of computing resources increase significantly
Solution Approach 1:
The cloud platform provides a universal computing environment that serves multiple customers simultaneously. Instead of each customer needing their own sophisticated computing infrastructure, the platform offers shared access to powerful computational resources, proprietary algorithms, and data processing capabilities. This multi-functional platform reduces individual customer complexity while maintaining analysis customization through configurable parameters and flexible code execution.
3Productivity
If customers invest in sophisticated computer programs and computing resources, then they can process large amounts of data effectively, but the cost and complexity of infrastructure investment increase
Solution Approach 1:
The platform enables customers to self-serve by allowing them to deploy and execute their own code in sandboxed environments. Customers can independently process their data using the platform's computational resources and proprietary algorithms without requiring their own infrastructure investments. This self-service model delivers high data processing capability while the platform manages the underlying computing resource allocation efficiently.
Data Source
AI summary
A cloud computing platform, a method of operating a cloud computing platform, and a private business entity network are provided herein. In one embodiment, the cloud computing platform includes: (1) a consolidated data reservoir configured to store saved data collected by a business entity, (2) an application layer having an infrastructure for developing and running applications, including at least one customer application of a customer of the business entity, and (3) a service layer configured to control access of the customer application to the saved data and allow the customer application to execute proprietary algorithms of the business entity.