Feedback-Driven Cyber Risk Analysis for Entity Diversity
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Solution Overview
Problem
Existing systems fail to effectively manage and mitigate cyber risk by ensuring diversity among entities, leading to increased overall risk due to similarities in attributes such as technology usage and infrastructure, which can result in cascading cyber attacks affecting multiple entities.
Innovation Solution
A system and method for assessing cyber security risk using a computer agent to collect data from accessible internet elements, evaluate circumstantial information, and automatically recommend changes to reduce risk, dynamically updating policies and network configurations to enhance diversity and reduce similarity among entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If entities use similar technology and infrastructure to achieve operational efficiency, then productivity is improved, but cyber security risk increases due to similarity in attributes
Solution Approach 1:
The system applies local quality by analyzing specific attributes of entities (technology stack, infrastructure, security measures) individually rather than treating all entities uniformly. It identifies localized similarities in specific technical attributes that create vulnerability patterns, allowing targeted risk mitigation while preserving operational efficiency benefits of standardization.
Solution Approach 2:
The system changes parameters by transforming qualitative similarity assessments into quantitative risk scores. It dynamically adjusts risk assessments based on multiple parameters including technology type, implementation details, and security configurations, enabling nuanced risk management that distinguishes between beneficial standardization and harmful vulnerability replication.
2Measurement precision
If a comprehensive data collection system is implemented to assess cyber risk across multiple entities, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments the complex task of cyber risk assessment into modular components: data collection modules for different data types, analysis modules for specific risk factors, and aggregation modules for overall risk scoring. This segmentation allows comprehensive assessment while managing system complexity through organized, reusable components.
Solution Approach 2:
The system implements universality by creating multi-functional assessment mechanisms that can evaluate multiple entities across various risk dimensions using the same core infrastructure. A single assessment engine handles diverse data types and risk scenarios, reducing overall system complexity while maintaining comprehensive measurement precision.
3Productivity
If real-time feedback mechanisms are implemented to provide actionable insights, then productivity is improved through faster decision-making, but loss of energy increases due to continuous processing requirements
Solution Approach 1:
The system implements periodic action by providing feedback at strategically determined intervals rather than continuous real-time processing. It assesses when updates are necessary based on change detection and risk thresholds, reducing computational energy consumption while maintaining productive decision-making speed through timely, not necessarily continuous, feedback.
Solution Approach 2:
The system implements feedback mechanisms that provide actionable insights to entities about their risk profiles and similarities to other entities. This feedback loop enables faster decision-making by presenting processed, analyzed information in actionable formats, improving productivity without requiring continuous full-system processing.
Data Source
AI summary
Inferential analysis includes: assessing risk of a cyber security failure in a computer network of an entity, using a computer agent configured to collect information from at least one accessible Internet elements, automatically determining, based on the assessed risk, a change or a setting to at least one element of policy criteria of a cyber security policy; and automatically recommending, based on the assessed risk, a computer network change to reduce the assessed risk.