Automated Cybersecurity Threat Intelligence and Response
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Leverage the power of AI to instantly analyze SIEM alerts, identify MITRE ATT&CK Tactics, Techniques, and Procedures (TTPs), and generate actionable remediation steps. This workflow transforms raw security data into intelligent, actionable insights.
About This Workflow
This n8n workflow is designed to automate and enhance your cybersecurity incident response process. It ingeniously integrates with your SIEM data, utilizing a powerful AI agent trained on MITRE ATT&CK frameworks and enterprise incident response best practices. Upon receiving a chat message or a test trigger simulating SIEM data, the workflow automatically parses the alert, extracts crucial TTP information, and identifies the relevant MITRE ATT&CK entries. It then generates specific, actionable remediation steps tailored to the detected threat, cross-references historical patterns for context, and suggests relevant external resources for deeper analysis. This ensures your security team can respond faster and more effectively to threats, reducing dwell time and minimizing potential damage.
Key Features
- AI-Powered TTP Extraction: Automatically identifies and tags MITRE ATT&CK tactics, techniques, and IDs from SIEM alerts.
- Actionable Remediation Guidance: Generates specific, context-aware steps to mitigate identified threats.
- Historical Context & Pattern Analysis: Cross-references current alerts with past incidents for trend identification.
- Intelligent External Resource Recommendation: Provides links to relevant documentation and further reading.
- Flexible Triggering: Initiates analysis via chat messages or manual workflow testing.
How To Use
- Configure the Trigger: Set up the 'When chat message received' node to receive alerts from your preferred chat platform or use the 'When clicking ‘Test workflow’' node for manual testing.
- Define the AI Agent's Role: Customize the 'systemMessage' within the 'AI Agent' nodes to precisely define the AI's expertise and output format, ensuring it aligns with your organizational standards.
- Connect Your AI Model: Ensure your OpenAI credentials are correctly configured in the 'OpenAI Chat Model' and 'Embeddings OpenAI' nodes.
- Input SIEM Data: Map the relevant fields from your SIEM alerts (e.g., subject, description) into the 'AI Agent1' node's text input.
- Process and Analyze Data: The workflow will automatically process the alert through the AI Agent, generate embeddings for potential future knowledge base integration, and prepare the output.
- Review and Act: Analyze the AI-generated report in HTML format to understand the TTPs, remediation steps, and recommended resources.
Apps Used
Workflow JSON
{
"id": "70593c64-fd6c-43ea-ba8f-fee634e5d108",
"name": "Automated Cybersecurity Threat Intelligence and Response",
"nodes": 6,
"category": "DevOps",
"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: 70593c64-fd6c...
About the Author
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