Integrated Resource Landscape System for Threat Prioritization
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Solution Overview
Problem
Organizations face difficulties in identifying and mitigating resource threats due to the complexity of managing resources, threat vectors, controls, metrics, policies, and rules across their systems, which often leads to gaps, redundancies, and inefficiencies in threat management.
Innovation Solution
An integrated resource landscape system utilizing a relational database with nodes to define elements and their relationships, allowing for cross-referencing and prioritization of resources, threat vectors, controls, metrics, policies, and rules to identify and remediate threats through graphical interfaces, enabling holistic inventory management and automatic updating of changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If organizations implement comprehensive threat management systems, then threat identification capability is improved, but system complexity increases
Solution Approach 1:
The system segments threat management into distinct functional modules: threat vector identification module, resource inventory module, control assessment module, and remediation tracking module. Each module handles specific aspects of threat management independently, reducing overall system complexity while maintaining comprehensive threat identification capability through coordinated module interactions.
Solution Approach 2:
The patent introduces an intermediary threat management platform that sits between organizational resources and threat vectors. This platform mediates by automatically correlating threat intelligence with resource inventories, assessing control effectiveness, and generating remediation recommendations, thereby simplifying the complex relationships between threats and resources without requiring direct manual analysis.
2Measurement precision
If organizations manually track and analyze threat vectors and controls, then measurement precision is improved, but time consumption increases
Solution Approach 1:
The system implements self-service capabilities where the threat management platform automatically performs data collection from multiple sources, correlates threat vectors with resource inventories, assesses control effectiveness, and generates remediation recommendations without requiring continuous manual intervention. This automation maintains high measurement precision through systematic data processing while dramatically reducing time consumption.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors threat landscapes, resource states, and control effectiveness, then automatically adjusts threat assessments and remediation priorities based on this feedback. This closed-loop approach improves measurement precision by incorporating real-time data while reducing time consumption through automated iterative analysis rather than repeated manual assessments.
3Reliability
If organizations maintain detailed inventories of all resources and threat vectors, then completeness of threat coverage is improved, but data management complexity increases
Solution Approach 1:
The patent implements a universal threat management platform that serves multiple functions: maintaining resource inventories, tracking threat vectors, assessing controls, generating reports, and providing remediation guidance. This multi-functional system consolidates what would otherwise be separate data management systems into a single unified platform, achieving complete threat coverage while reducing overall data management complexity through centralized coordination.
Solution Approach 2:
The system merges previously separate data structures for resources, threats, controls, and metrics into an integrated data model where these elements are correlated through standardized relationships. This consolidation achieves complete threat coverage by ensuring all elements are systematically connected while reducing data management complexity by eliminating redundant data storage and management processes across multiple separate systems.
Data Source
AI summary
The invention relates to a resource landscape system that allows users to identify issues with elements within the organization and implement changes to the elements utilizing a relational database that utilizes nodes for defining the elements and relationships between the elements. The resource landscape system and applications therein provide a holistic inventory of resources, threat vectors, controls, metrics, policies, rules, and/or the like. The resource landscape system may be implemented through one or more interfaces that allows users to view cross-references of the elements, identify the priority of the elements using the crossed-references, and/or identify element issues in the elements of the organization that could results in threats to the organization. Moreover, the invention allows for receiving changes to one or more of the elements and automatically updating the cross-references of the elements, the priority of the elements, and/or the element issues.