Automated MITRE ATT&CK Incident Response with AI Assistant
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Leverage AI to analyze SIEM alerts, extract MITRE ATT&CK TTPs, and generate actionable remediation steps. This workflow enhances cybersecurity incident response by providing contextual intelligence.
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About This Workflow
Overview
This n8n workflow automates aspects of cybersecurity incident response by integrating with AI models, specifically Langchain, to analyze security alerts. The primary goal is to process Security Information and Event Management (SIEM) data, extract relevant MITRE ATT&CK Tactics, Techniques, and Procedures (TTPs), and then generate specific, actionable remediation steps. The workflow aims to improve the efficiency and effectiveness of security analysts by providing them with structured, context-aware insights directly from alerts.
Key Features
- AI-powered TTP extraction from SIEM alerts using Langchain.
- Automated generation of actionable remediation steps tailored to the alert.
- MITRE ATT&CK framework integration for threat intelligence.
- Ability to cross-reference historical patterns and related alerts (potential future enhancement).
- Structured output for easy integration into ticketing or reporting systems.
How To Use
- Configure the
When chat message receivednode to trigger the workflow with SIEM alert data. - Set up the
AI AgentandOpenAI Chat Modelnodes with your desired AI model and system message for cybersecurity analysis. - Customize the
AI Agent'ssystemMessageto define its role and expected output format. - Connect the output of the AI analysis to subsequent nodes for processing, such as extracting information or sending to other systems.
- For enriching data, utilize nodes like
Default Data LoaderandEmbeddings OpenAIto potentially feed context into the AI's decision-making process (though this specific snippet focuses on alert analysis). - The
Structured Output Parsernode is crucial for defining the expected JSON schema of the AI's response, enabling programmatic access to TTPs and remediation steps.
Apps Used
Workflow JSON
{
"id": "60bf8e0c-09b0-4ea1-bebe-e63230ce7ea7",
"name": "Automated MITRE ATT&CK Incident Response with AI Assistant",
"nodes": 0,
"category": "Cybersecurity Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 60bf8e0c-09b0...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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