Cybersecurity Risk Score Calculation Using Endpoint Telemetry
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Solution Overview
Problem
Traditional methods for assessing cybersecurity risk are incomplete and inaccurate due to the lack of comprehensive data, particularly historical risk information, leading to an inadequate understanding of an entity's exposure to cyber threats.
Innovation Solution
A system and method that utilize telemetry data to calculate a cybersecurity risk score by analyzing historical and current risk factors, including previous attacks, third-party security practices, and asset value, and automatically adjusts security measures based on the calculated risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional questionnaire methods are used to assess cybersecurity risk, then the assessment process is simple and easy to implement, but the accuracy and completeness of risk evaluation deteriorates due to incomplete information and lack of historical data
Solution Approach 1:
The system segments cybersecurity risk assessment into multiple independent data sources including telemetry data from endpoints, historical attack data, third-party security data, and vulnerability information. Each segment is collected and analyzed separately, then integrated to form a comprehensive risk score, thereby improving accuracy while maintaining operational simplicity through automated data collection from each segment.
Solution Approach 2:
The patent introduces telemetry data as an intermediary between traditional questionnaires and risk evaluation. This intermediary layer automatically collects comprehensive security information from endpoints, historical attacks, and third parties, transforming subjective questionnaire responses into objective, data-driven risk assessments without requiring manual intervention.
2Measurement precision
If comprehensive telemetry data from multiple sources is collected and analyzed, then the accuracy of cybersecurity risk evaluation improves, but the system complexity and data processing requirements increase
Solution Approach 1:
The system implements a multi-functional platform that simultaneously collects telemetry data from endpoints, historical attack databases, third-party security sources, and vulnerability feeds. This universal system performs multiple functions including data collection, normalization, analysis, and risk scoring within a single integrated architecture, reducing overall system complexity despite handling diverse data sources.
Solution Approach 2:
The patent transforms diverse telemetry data from multiple sources into standardized parameters and metrics that can be uniformly processed. By converting different data types (logs, attack records, vulnerability scans) into consistent risk parameters, the system simplifies data processing while maintaining comprehensive analysis capabilities across all data sources.
3Loss of information
If historical risk data and comprehensive telemetry information are analyzed, then the understanding of entity exposure to cyber threats improves, but the time and computational resources required for assessment increase
Solution Approach 1:
The system performs preliminary actions by continuously collecting and pre-processing telemetry data from endpoints, historical attacks, and third-party sources before formal risk assessment is needed. This ongoing data collection and normalization prepares the information in advance, enabling rapid risk scoring when assessment is required without time-consuming data gathering during the actual evaluation.
Solution Approach 2:
The patent implements continuous telemetry data collection and analysis rather than periodic assessments. The system continuously monitors endpoints, updates historical attack data, and tracks vulnerability information in real-time, maintaining an up-to-date risk profile that can be quickly queried and updated without restarting the entire assessment process.
Data Source
AI summary
A computer-implemented method for evaluating cybersecurity risk may include (i) identifying telemetry data collected from endpoints of an entity, (ii) calculating a cybersecurity risk score for the entity by searching the telemetry data for information indicative of cybersecurity risk exposure of the entity and performing an actuarial analysis on the information indicative of the cybersecurity risk exposure to quantize a potential consequence of the cybersecurity risk exposure, and (iii) performing, based on the cybersecurity risk score, a security action to protect the entity from the potential consequence of the cybersecurity risk exposure. Various other methods, systems, and computer-readable media are also disclosed.