Threat-Intelligence Correlation for Cybersecurity Product Deployment
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Solution Overview
Problem
Organizations face challenges in determining the appropriate cybersecurity products needed to address their specific security posture due to a lack of correlation between existing security products and actual threat intelligence, leading to uncertainty in deployment decisions.
Innovation Solution
A system and method that extracts cybersecurity intelligence from various sources, analyzes the organization's posture, and recommends product deployments based on threat intelligence, reputation data, and business case to optimize cybersecurity product purchasing decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If administrators deploy cybersecurity products without correlation to actual threat intelligence, then they may purchase additional security products, but the effectiveness of these products in preventing future attacks remains uncertain
Solution Approach 1:
The system continuously monitors threat intelligence feeds, security product performance data, and organizational security posture to dynamically adjust and refine product recommendations. This feedback loop ensures that administrators receive updated guidance based on current threats and the actual effectiveness of deployed products, resolving the uncertainty about product effectiveness.
Solution Approach 2:
The system performs preliminary analysis of threat intelligence and organizational vulnerability profiles before product deployment decisions are made. By pre-correlating threat data with security product capabilities and organizational needs, the system provides informed recommendations that align security investments with actual threat landscapes, eliminating the lack of correlation between products and threats.
2Measurement precision
If administrators do not know the actual status or posture of their organization in online security, then they cannot make informed deployment decisions, but gathering comprehensive security intelligence requires analyzing multiple data sources
Solution Approach 1:
The system integrates multiple data sources including threat intelligence feeds, vulnerability scanners, asset inventory systems, and security log analyzers into a single unified platform. This multi-functional system simultaneously performs data collection, correlation, analysis, and recommendation generation, achieving precise security posture measurement without requiring administrators to manage multiple separate complex tools.
Solution Approach 2:
The system introduces an intermediary intelligence correlation engine that sits between raw data sources and administrators. This intermediary automatically collects, normalizes, and correlates data from diverse sources (threat feeds, internal security tools, external intelligence) and presents synthesized, actionable insights to administrators, simplifying the complexity of intelligence gathering while maintaining high measurement precision.
3Ease of manufacture
If administrators are unsure whether to purchase additional cybersecurity products, then they may over-provision security measures, but without intelligence correlation they cannot determine actual need
Solution Approach 1:
The system dynamically adjusts product recommendations based on changing parameters including threat landscape evolution, organizational risk tolerance, budget constraints, and security maturity level. By continuously monitoring these parameters and correlating them with intelligence data, the system optimizes the quantity and type of security products needed, preventing both over-provisioning and under-provisioning while simplifying deployment decisions.
Data Source
AI summary
Systems and methods are provided for recommending a deployment of cybersecurity products according to threat intelligence pertaining to an organization. A method, according to one implementation, includes a step of extracting, from one or more sources, cybersecurity intelligence related to an online presence of an organization. The method also includes a step of analyzing the cybersecurity intelligence to determine a cybersecurity posture of the organization, where the cybersecurity posture is defined by at least a set of one or more cybersecurity issues. Also, the method includes a step of creating a cybersecurity product deploying recommendation to assist the organization with mitigating the set of one or more cybersecurity issues.