🔒 Automate SIEM alert enrichment with MITRE ATT&CK, Qdrant & Zendesk in n8n
⚡ 14,300 views · 🔒 SecOps & Security Automation
Description
n8n Workflow: Automate SIEM Alert Enrichment with MITRE ATT&CK & Qdrant
Who is this for?
This workflow is ideal for:
- Cybersecurity teams & SOC analysts who want to automate SIEM alert enrichment.
- IT security professionals looking to integrate MITRE ATT&CK intelligence into their ticketing system.
- Organizations using Zendesk for security incidents who need enhanced contextual threat data.
- Anyone using n8n and Qdrant to build AI-powered security workflows.
What problem does this workflow solve?
Security teams receive large volumes of raw SIEM alerts that lack actionable context. Investigating every alert manually is time-consuming and can lead to delayed response times. This workflow solves this problem by:
✔ Automatically enriching SIEM alerts with MITRE ATT&CK TTPs.
✔ Tagging & classifying alerts based on known attack techniques.
✔ Providing remediation steps to guide the response team.
✔ Enhancing security tickets in Zendesk with relevant threat intelligence.
What this workflow does
1️⃣ Ingests SIEM alerts (via chatbot or ticketing system like Zendesk).
2️⃣ Queries a Qdrant vector store containing MITRE ATT&CK techniques.
3️⃣ Extracts relevant TTPs (Tactics, Techniques, & Procedures) from the alert.
4️⃣ Generates remediation steps using AI-powered enrichment.
5️⃣ Updates Zendesk tickets with threat intelligence & recommended actions.
6️⃣ Provides structured alert data for further automation or reporting.
Setup Guide
Prerequisites
- n8n instance (Cloud or Self-hosted).
- Qdrant vector store with MITRE ATT&CK data embedded.
- OpenAI API key (for AI-based threat processing).
- Zendesk account (for ticket enrichment, if applicable).
- Clean Mitre Data Python Script
- Cleaned Mitre Data
- Full Mitre Data
Steps to Set Up
1️⃣ Embed MITRE ATT&CK data into Qdrant
- This workflow pulls MITRE ATT&CK data from Google Drive and loads it into Qdrant.
- The data is vectorized using OpenAI embeddings for fast retrieval.
2️⃣ Deploy the n8n Chatbot
- The chatbot listens for SIEM alerts and sends them to the AI processing pipeline.
- Alerts are analyzed using an AI agent trained on MITRE ATT&CK.
3️⃣ Enrich Zendesk Tickets
- The workflow extracts MITRE ATT&CK techniques from alerts.
- It updates Zendesk tickets with contextual threat intelligence.
- The remediation steps are included as internal notes for SOC teams.
How to Customize This Workflow
🔧 Modify the chatbot trigger: Adapt the chatbot node to receive alerts from Slack, Microsoft Teams, or any other tool.
🔧 Change the SIEM input source: Connect your workflow to Splunk, Elastic SIEM, or Chronicle Security.
🔧 Customize remediation steps: Use a custom AI model to tailor remediation responses based on organization-specific security policies.
🔧 Extend ticketing integration: Modify the Zendesk node to also work with Jira, ServiceNow, or another ITSM platform.
Why This Workflow is Powerful
✅ Saves time: Automates alert triage & classification.
✅ Improves security posture: Helps SOC teams act faster on threats.
✅ Leverages AI & vector search: Uses LLM-powered enrichment for real-time context.
✅ Works across platforms: Supports n8n Cloud, Self-hosted, and Qdrant.
🚀 Get Started Now!
📖 Watch the Setup Video
💬 Have Questions? Join the Discussion in the YouTube Comments!
🔗 Nodes Used
Google Drive, Zendesk, AI Agent, Embeddings OpenAI, OpenAI Chat Model, Simple Memory
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File