Templates / Automate SIEM alert enrichment with MITRE ATT&CK, Qdrant & Zendesk in n8n

Automate SIEM alert enrichment with MITRE ATT&CK, Qdrant & Zendesk in n8n

Needs changes

by Angel Menendez ✓ · 14,738 views · created 2025-02-03 · SecOps, AI RAG

Needs changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.

What to replace before upgrading

Removed in 3.0Replace with
AI Agent v1 (old agent modes)
AI Agent (v1.7), AI Agent1 (v1.7)
Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.

Nodes used (16)

AI AgentOpenAI Chat ModelEmbeddings OpenAIDefault Data LoaderToken SplitterSimple MemoryStructured Output ParserGoogle DriveQdrant Vector StoreZendesk

What it does

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!

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