Published 9 days ago
This workflow is ideal for:
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.
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.
1️⃣ Embed MITRE ATT&CK data into Qdrant
2️⃣ Deploy the n8n Chatbot
3️⃣ Enrich Zendesk Tickets
🔧 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.
✅ 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.
📖 Watch the Setup Video
💬 Have Questions? Join the Discussion in the YouTube Comments!