Cyber Liability Insurance Risk Model and Security Control Ranking
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Solution Overview
Problem
Current security controls for mitigating cyber threats in networked computer systems are costly and not all are implemented, leading to a need for a more efficient method to assess and reduce cyber risks associated with cyber-liability insurance transactions, which often do not account for specific threats relevant to each policy.
Innovation Solution
A security control system that generates a novel model for cyber-liability insurance transactions, recommending and monitoring security controls to optimize the security posture of IT assets, using a combination of heuristic and machine learning algorithms to rank recommended security controls and continuously evaluate and monitor cyber threats and controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all possible security controls are implemented to mitigate cyber threats, then the security posture is improved, but the implementation cost increases significantly
Solution Approach 1:
The system dynamically adjusts security control parameters based on real-time threat assessments and organizational risk profiles. By changing parameters such as control priority, implementation timing, and resource allocation, the system optimizes security posture while controlling costs through data-driven decision making
Solution Approach 2:
The system implements continuous feedback loops that monitor threat landscapes, control effectiveness, and cost metrics. This feedback enables dynamic adjustment of security control implementations, allowing organizations to optimize between security improvement and cost expenditure by learning from actual performance data
2Ease of operation
If standard cyber threat models are used for risk assessment, then the assessment process is simplified, but the specificity to individual policy rules and coverages is reduced
Solution Approach 1:
The system segments the risk assessment process into modular components: standard threat model evaluation, policy rule-specific threat analysis, and coverage-specific risk calculation. This segmentation allows the system to maintain simplicity through standardized components while achieving precision through customized analysis for each policy's specific rules and coverages
Solution Approach 2:
The system dynamically adapts the assessment process by adjusting the level of customization based on policy requirements. For policies with standard coverages, a simplified approach is used, while for policies with specialized rules, the system automatically increases assessment specificity, thereby balancing ease of operation with measurement precision
Data Source
AI summary
Systems, methods, and computer program products for evaluating situational awareness of a cyberspace operational environment in a security control server in connection with a cyber-liability insurance transaction. The system may include a security control server that generates a model representing a cyber-liability insurance transaction. The security control server may further generate a ranked list of recommended security controls that are designed to reduce cyber-risks, and thereby the premium, associated with the cyber-liability insurance transaction model. Additionally, the security control server may continuously and automatically monitor one or more security controls implemented by a cyber-liability insurance consumer to insured information technology assets to evaluate compliance with the cyber-liability insurance transaction model.