Knowledge-Graph Cyberattack Planning for Consistent Red-Blue Assessments

The patent introduces an automated penetration testing system as an intermediary between human red/blue team members. This system incorporates attack path planners and execution engines that objectively analyze network vulnerabilities, eliminating the variability caused by individual expertise differences while maintaining operational simplicity through automated reporting and standardized assessment protocols.

The patent replaces the mechanical system of human intuition and trial-and-error assessment with an automated computational system. The attack path planner uses algorithms to systematically explore potential attack vectors, and the execution engine automatically tests identified vulnerabilities, substituting human cognitive processes with deterministic computational methods that ensure consistent, comprehensive coverage.

The patent implements a dynamic assessment system where the attack path planner continuously re-evaluates potential attack paths based on real-time network state changes. As defenders implement countermeasures or network configurations change, the system automatically updates its analysis to reflect the new environment, maintaining adaptability while operating with minimal human intervention.

The patent incorporates feedback loops where the execution engine reports results back to the attack path planner, which then adjusts subsequent testing strategies based on discovered vulnerabilities and defender responses. This closed-loop system enables automated tools to learn from each interaction and adapt their approach, mirroring the dynamic nature of real attacker-defender engagements.

The patent creates a universal assessment platform that integrates multiple assessment functions into a single system. The attack path planner simultaneously considers various attack methodologies (social engineering, technical exploits, physical access), and the execution engine can test multiple vulnerability types across diverse network configurations, ensuring comprehensive coverage that no single human expert could achieve alone.

The patent combines multiple sources of expertise into a composite assessment system. By integrating attack path planning algorithms, execution engines, and analysis components into a unified platform, the system synthesizes diverse knowledge domains (network security, application security, physical security) into a cohesive assessment capability that exceeds individual human expertise while retaining creative problem-solving through structured exploration of attack scenarios.