Cyber Threat Intelligence Platform for Attack-Defense Time-Lapse Analysis
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Solution Overview
Problem
Existing cyber threat intelligence platforms fail to effectively capture, share, and analyze data from red team attackers and blue team defenders, lacking a means for collaborative learning and improvement of attack and defense mechanisms.
Innovation Solution
A cyber threat intelligence platform that simulates network environments, captures interactions between attacker and victim machines, and uses closed-loop analysis to measure attack-defense time lapse, facilitating collaborative learning and improvement through red and blue team actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing cyber threat intelligence platforms are used, then threat intelligence data can be collected, but the data cannot be effectively captured, shared, and analyzed among red team attackers and blue team defenders
Solution Approach 1:
The patent merges the functionality of red team attack simulation, blue team defense analysis, and collaborative intelligence sharing into a single integrated platform. The system combines virtual machine-based attack simulation with automated defense action capture and time-lapse analysis, enabling seamless data sharing and collaborative learning between offensive and defensive teams without requiring separate systems.
Solution Approach 2:
The platform is designed as a universal system that serves multiple functions: simulating cyberattacks using red team virtual machines, executing defense actions through blue team virtual machines, capturing and analyzing attack-defense time lapses, and facilitating collaborative intelligence sharing. This multi-functional design eliminates the need for multiple separate tools and platforms.
2Adaptability or versatility
If attack and defense actions are analyzed separately, then each function can be optimized independently, but collaborative learning and improvement of attack and defense mechanisms is limited
Solution Approach 1:
The system implements feedback mechanisms by automatically capturing and analyzing the time lapse between attack actions and defense actions. This feedback loop enables both red and blue teams to learn from each other's performance in real-time, identifying gaps in detection and response times while maintaining the ability to optimize each function independently through targeted analysis.
Solution Approach 2:
The patent introduces a temporal dimension to the analysis by measuring and visualizing the time lapse between attack and defense actions. This time-based perspective adds a new dimension to traditional security analysis, enabling collaborative learning about response effectiveness and identifying opportunities for improvement that would not be visible in static, separate analyses.
3Measurement precision
If comprehensive analysis of attack and defense mechanisms is performed, then understanding of security threats improves, but the speed of identifying gaps in threat detection decreases
Solution Approach 1:
The system replaces manual, mechanical analysis processes with automated computer-based analysis. Virtual machines execute attacks and defenses automatically, and the system automatically captures, compares, and analyzes the time lapses between these actions. This automation enables comprehensive analysis of attack and defense mechanisms while maintaining high speed in identifying detection gaps through programmatic processing rather than manual review.
Data Source
AI summary
Disclosed is a cyber threat intelligence platform configured to: a) designate a virtual machine as an attacker machine; b) designate a virtual machine as a victim machine; c) receive cyberattack data representative of a cyberattack executed by the attacker machine against the victim machine; e) receive defense action data representative of a defense action executed by the victim machine against the cyberattack; f) mark a first point in time when the cyberattack is executed, and mark a second point in time when the defense action is initiated; g) compare the first point in time with the second point in time to ascertain an attack-defense time lapse as a performance measure for computer system threat management of cyberattacks or defense actions, and h) view or analyze cyberattack and defense actions for effectiveness, including perspectives derived from the relative timing of the actions as indicated on the time lapse.