Automated Cybersecurity Planning With Distributed Threat Mitigation
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Solution Overview
Problem
Current automated planning systems struggle to scale effectively with large problem spaces, leading to inefficient and time-consuming search trees, and cybersecurity operations are overwhelmed by the volume and variety of cyber events, necessitating improved mitigation strategies.
Innovation Solution
An automated planning service deployed in a distributed architecture with asynchronous 'eventual agreement' consistency, utilizing machine learning and simulations to generate mitigation strategies for cybersecurity threats, employing master and worker nodes for efficient action assignment and result analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If current automated planning systems use domain-independent heuristics to handle large problem spaces, then they can attempt to deal with more objects, but they result in large search trees that cannot be processed in reasonable time
Solution Approach 1:
The patent segments the large problem space into multiple sub-problems using a hierarchical decomposition approach. The automated planning system divides the overall task into smaller subtasks, each handled by separate planning processes. This segmentation reduces the size of search trees for each subproblem, enabling them to be processed in reasonable time while collectively solving the larger problem.
Solution Approach 2:
The patent introduces a hierarchical dimension to the planning process, moving from flat, domain-independent heuristics to a multi-level hierarchical structure. This adds a temporal and organizational dimension to problem-solving, where high-level goals are decomposed into lower-level actions, allowing the system to handle large problem spaces without creating excessively large search trees at any single level.
2Reliability
If human teams manually respond to cyber events, then they can analyze and respond to threats, but they cannot keep up with the volume, variety and variance of cyber events
Solution Approach 1:
The patent implements self-service through automated planning algorithms that autonomously generate, select, and execute mitigation strategies without human intervention. The system automatically responds to cyber events by formulating plans, assigning tasks to appropriate agents, and executing responses, thereby maintaining reliable threat response while dramatically increasing productivity to handle the volume, variety, and variance of modern cyber events.
Solution Approach 2:
The patent replaces the mechanical human response process with an automated planning and execution system. Instead of human analysts manually analyzing threats and responding, the system uses automated algorithms to detect, plan, and execute mitigation strategies, substituting human cognitive and manual processes with automated computational processes that can handle much higher volumes of events.
3Adaptability or versatility
If a distributed architecture is used for automated planning service, then system scalability is improved, but synchronization overhead increases
Solution Approach 1:
The patent applies preliminary action by pre-defining communication protocols, data formats, and coordination mechanisms before the distributed system operates. Task assignments, result submission formats, and node registration procedures are established in advance, reducing the need for complex runtime synchronization and allowing the system to scale efficiently while maintaining manageable complexity.
Data Source
AI summary
A system and methods for enhanced cybersecurity using an automated planning service is provided, comprising an automated planning service that receives a network analysis job, constructs a simulation using known network and threat information, assigns individual actions to worker nodes for processing, analyzes the results and records new threat mitigation plans as they are produced to expedite future operations, and produces an action plan as output.


