AI Playbook Automation for Threat Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current security management systems face inefficiencies in threat analysis and response due to high human effort requirements for developing and managing playbooks, which can lead to waste of time and varying analysis and counter-procedure effectiveness among security controllers.
Innovation Solution
A system and method utilizing artificial intelligence to automatically generate, verify, and execute playbooks, incorporating cyber threat intelligence and reinforcement learning to adapt countermeasures, allowing for efficient threat analysis and response while prioritizing critical security events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human experts manually develop and manage playbooks for security events, then the analysis and countermeasures can be customized and effective, but it results in waste of time and human efforts have reached limits
Solution Approach 1:
The system enables automated playbook generation where the AI model autonomously creates playbooks from security events and threat intelligence without requiring manual human development. The system self-manages the playbook lifecycle including generation, verification, and updating, eliminating the time-consuming manual processes while maintaining effectiveness through AI-driven analysis.
Solution Approach 2:
The patent replaces the manual mechanical process of playbook development with an automated AI-based system. The artificial learning model processes security events, analyzes threat intelligence, and generates playbooks automatically, substituting human expert manual work with an automated intelligent system that operates continuously without time constraints.
2Adaptability or versatility
If human experts manually develop playbooks, then customization and effectiveness are achieved, but human efforts for developing and managing playbook have resulted in a waste of time
Solution Approach 1:
The AI system autonomously generates customized playbooks by analyzing specific security events and matching them with relevant threat intelligence. The system automatically adapts playbooks to different security scenarios without requiring manual customization, maintaining versatility while dramatically improving development efficiency through automated event analysis and playbook generation.
Solution Approach 2:
The system dynamically adjusts playbook parameters based on the specific characteristics of detected security events and current threat intelligence. The AI model modifies analysis depth, countermeasure selection, and response priorities according to event severity and type, enabling customization without manual intervention and significantly boosting productivity.
3Extent of automation
If automated playbook execution is implemented, then human intervention is reduced, but verification of effectiveness is required
Solution Approach 1:
The system incorporates a verification module that automatically evaluates playbook effectiveness by analyzing execution results and security event outcomes. The feedback mechanism compares expected versus actual results, identifies areas for improvement, and triggers automated playbook updates, ensuring reliability is maintained through continuous validation while preserving high automation levels.
Data Source
AI summary
Disclosed is a system and a method of automatizing a threat analysis based on artificial intelligence according to the present invention, the system comprising: a playbook automatic-generation module configured to generate a playbook based on a template by utilizing an artificial learning model; a playbook verification and management module configured to verify effectiveness of the playbook generated by the playbook automatic-generation module; a playbook database configured to save the playbook verified by the playbook verification and management module; and a playbook execution module configured to automatically execute any playbook corresponding to a detected event through matching therebetween from the playbook database.