Automated Cyber Playbook Generation via Threat Intelligence
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cyber defense systems rely on manual assembly of playbooks for cyberattack response, which is time-consuming, prone to human error, and complex to deploy, necessitating more automated and reliable approaches for generating and implementing effective cyberattack response strategies.
Innovation Solution
An automated system for generating cyber event response playbooks that includes a human-in-the-loop validation process, utilizing data from security event and response databases, and security event monitors to create optimized playbooks that define offensive and defensive techniques, integrating with SOAR engines and the MITRE ATT&CK framework for enhanced reliability and continuous evolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual assembly of playbooks is used, then flexibility and human judgment are maintained, but time consumption and human error increase
Solution Approach 1:
The system enables automated self-generation of playbooks by extracting attack patterns from threat intelligence data and automatically assembling response procedures, eliminating the need for manual playbook creation while maintaining reliability through systematic rule-based generation
Solution Approach 2:
The system performs preliminary analysis of threat intelligence data and pre-generates playbook templates that can be quickly activated and customized when attacks are detected, avoiding time-consuming manual assembly during actual security incidents
2Ease of operation
If manual playbook assembly is used, then human expertise can be applied, but complexity of deployment and management increases
Solution Approach 1:
The system automatically generates and updates playbooks based on threat intelligence data without requiring manual configuration or complex SOAR setup, enabling security teams to deploy protective measures immediately upon detecting new attack patterns
Solution Approach 2:
The system pre-processes threat intelligence data and pre-generates playbook configurations in advance, so that when attacks are detected, playbooks are already prepared and can be deployed instantly without complex manual setup
3Productivity
If automated playbook generation is implemented, then time consumption and human error are reduced, but system complexity increases
Solution Approach 1:
The system automatically extracts attack patterns from threat intelligence data and self-generates playbooks using predefined templates and rules, achieving rapid playbook creation without requiring complex manual configuration or extensive system setup
Solution Approach 2:
The system performs preliminary processing of threat intelligence data and pre-generates playbook templates in advance, enabling rapid automated generation when attacks are detected without requiring complex real-time analysis or manual intervention
Data Source
AI summary
A cyber event response playbook generation system including a data interface arranged to: i) receive, from a cyber security event and response database, a plurality of types of cyber security events and corresponding cyber security event response actions associated with each of the types of cyber security events and ii) receive, from at least one cyber security event monitor, first cyber security event data. A cyber event response playbook generator is arranged to: i) receive the plurality of types of cyber security events and corresponding cyber security event response actions from the data interface ii) receive the first cyber security event data from the data interface, iii) and automatically generate a first cyber event response playbook including one or more response actions based on the received plurality of types of cyber security events and corresponding response actions and the first cyber security event data.