Intelligent Cybersecurity Alert Analysis and Response
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Automate the analysis of SIEM alerts with AI to identify TTPs, generate actionable remediation steps, and leverage historical data for enhanced threat intelligence. This workflow empowers security teams with faster, more informed responses.
About This Workflow
This n8n workflow harnesses the power of AI to transform raw SIEM alert data into actionable cybersecurity intelligence. Upon receiving a chat message or a manual trigger, the workflow routes the alert data to an AI agent specialized in cybersecurity. This agent, trained on MITRE ATT&CK and incident response best practices, meticulously extracts TTP (Tactics, Techniques, and Procedures) information, providing detailed insights including tactic, technique name, and ID. It then generates specific, actionable remediation steps tailored to the detected threat. Furthermore, the workflow intelligently cross-references historical patterns and related alerts to provide context, enabling a deeper understanding of evolving threats. For continuous learning and deeper analysis, relevant external resources are recommended. The entire process is designed to accelerate incident response times and improve the overall security posture of an organization.
Key Features
- Automated TTP Extraction: Accurately identifies MITRE ATT&CK TTPs from SIEM alerts.
- Actionable Remediation Guidance: Generates specific and practical steps to mitigate identified threats.
- Historical Context & Pattern Analysis: Cross-references alerts with past incidents for trend identification.
- AI-Powered Threat Intelligence: Leverages advanced AI models (like GPT-4o) for sophisticated analysis.
- External Resource Integration: Recommends relevant documentation and external links for deeper insight.
How To Use
- Trigger Configuration: Set up the 'When chat message received' node to listen for incoming alerts from your chat platform, or use the 'When clicking ‘Test workflow’' for manual testing.
- AI Agent Setup: Configure the 'AI Agent' node with a detailed system message that defines its role as a cybersecurity expert.
- Chat Model Integration: Connect an 'OpenAI Chat Model' (e.g., GPT-4o) to the AI agent to power its analytical capabilities. Ensure your OpenAI credentials are set up.
- Data Preparation: Utilize nodes like 'Extract from File' or direct data input to feed SIEM alert data into the workflow.
- Embedding and Document Loading (Optional but Recommended for Historical Data): If incorporating historical threat data, use 'Embeddings OpenAI' and 'Default Data Loader' to process and embed relevant information for the AI agent to reference.
- Response Formatting: Configure the output of the AI Agent to be in the desired format (e.g., HTML, as specified in the
AI Agent1node). - Review and Action: Analyze the output from the AI agent for TTPs, remediation steps, and historical context to inform your security actions.
Apps Used
Workflow JSON
{
"id": "8df74a76-8468-49cb-af49-de11cde5363b",
"name": "Intelligent Cybersecurity Alert Analysis and Response",
"nodes": 19,
"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.
Get This Workflow
ID: 8df74a76-8468...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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