Threat Modeling System for Proactive Cyber Defense
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Solution Overview
Problem
Cybersecurity teams often react to cyber threats after they have been identified, rather than proactively anticipating and preparing defenses, leading to a focus on compliance rather than proactive threat management.
Innovation Solution
A system and method for cybersecurity operations threat modeling that incorporates real-world intelligence and operational data to assess and prioritize threats from various cyber threat actors, using a 'threat grid' scoring methodology to categorize and prioritize threats based on technical capabilities and intent, and deploying countermeasures to organizational systems based on threat models generated from this analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cybersecurity teams focus on compliance-based controls, then they can meet regulatory requirements, but they remain reactive to threats rather than proactive
Solution Approach 1:
The patent applies preliminary action by performing threat modeling and risk assessments before threats materialize. The system proactively identifies potential threats, vulnerabilities, and attack vectors, and prioritizes them using a structured framework. This allows organizations to implement defenses in advance rather than reacting after incidents occur, directly addressing the contradiction between compliance-focused reactive approaches and proactive threat prevention.
2Reliability
If organizations implement detailed threat modeling and prioritization, then they can proactively identify and mitigate threats, but the complexity of the security operations increases
Solution Approach 1:
The patent applies segmentation by dividing the threat modeling process into distinct, manageable components: threat identification, vulnerability assessment, risk evaluation, and prioritization. Each component handles a specific aspect of security analysis, making the overall complex process more tractable and implementable. This structured segmentation allows detailed threat modeling without overwhelming security operations teams.
Solution Approach 2:
The patent uses parameter changes by introducing a prioritization framework that transforms qualitative threat assessments into quantitative scores and rankings. By converting complex security judgments into measurable parameters and metrics, the system enables detailed threat analysis while maintaining operational manageability through standardized evaluation criteria.
3Ease of operation
If cybersecurity teams respond only after threats are identified, then the security operations are simpler to manage, but the organization cannot prevent threats before they occur
Solution Approach 1:
The patent implements preliminary action by establishing continuous threat modeling and assessment processes that operate before threats materialize. The system proactively identifies potential attack vectors, evaluates vulnerabilities, and prioritizes risks, enabling organizations to implement preventive measures in advance. This maintains operational manageability through structured processes while significantly improving threat prevention capability.
Data Source
AI summary
Systems and methods for cybersecurity operations threat modeling are disclosed. In one embodiment, a method may include: (1) receiving threat actor data and threat actor group data; (2) processing the threat actor data and the threat actor group data; (3) for each threat actor group, generating a threat actor group profile; (4) collecting operational data from an organizational system; (5) generating a threat model by applying the threat actor group profile to the operational data; and (6) deploying at least one countermeasure to the organizational system in response to the threat model.