Cloud Security Policy Data Filtering via Interactive Workload Mapping
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Solution Overview
Problem
Users face challenges in determining relevant security requirements for cloud environments due to the vast and complex nature of security policy data, requiring tedious manual intervention from security experts, which is inefficient and time-consuming.
Innovation Solution
An interactive program that takes user input about technical workloads and maps it to a tailored list of individual security requirements from a first-party enterprise's security policy data store, allowing users with limited knowledge to obtain relevant security requirements efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually review security policy data to determine relevant security requirements, then accuracy of security requirement identification is improved, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent introduces an interactive program as an intermediary between users and security policy data. This program acts as a mediator that automatically filters, maps, and presents only the relevant security requirements based on user input about technical workloads, eliminating the need for manual review of entire policy documents while maintaining accuracy.
Solution Approach 2:
The patent replaces the mechanical manual review process with an automated computational system. The interactive program uses algorithms to process security policy data, map it to technical workload categories, and generate relevant requirement lists automatically, substituting human manual inspection with automated information processing.
2Reliability
If security experts manually intervene to determine security requirements, then reliability of security compliance is improved, but device complexity and operational burden increase
Solution Approach 1:
The patent enables users to perform security requirement determination independently through self-service interaction. The interactive program guides users through a simplified questionnaire about their technical workloads and automatically generates relevant security requirements, eliminating the need for security expert intervention while maintaining compliance reliability.
Solution Approach 2:
The patent segments the complex security policy data into manageable categories and presents them through a structured interactive interface. By dividing the overwhelming security policy into discrete, relevant sections based on user input, the system reduces operational complexity while maintaining comprehensive security coverage.
3Quantity of substance
If users access comprehensive security policy data stores, then completeness of security requirements is improved, but ease of operation deteriorates due to voluminous data
Solution Approach 1:
The patent extracts only the relevant security requirements from the comprehensive policy data store based on user input about technical workloads. The interactive program filters and extracts pertinent information, presenting a customized subset of security requirements that is both complete for the user's needs and easy to navigate, rather than overwhelming users with the entire policy database.
Data Source
AI summary
A system and method for returning security policy requirements data based on user input that identifies a cloud environments, a service model, first or third party responsibilities, and/or code deployment information. A user provides answers to straightforward, generally non-expert questions directed to the user's cloud environment, first or third party responsibilities, and/or code deployment information for the user's scenario, e.g., technical workload. The answers result in determining which architecture layers apply (are in-scope architecture layers) relevant to the user's scenario. The in-scope architecture layers map to security requirements maintained in a security policy data store. The security requirements are returned (e.g., as a list) in response to the user's answers.


