Automated SIEM Alert Enrichment with MITRE ATT&CK, Qdrant, and Zendesk in n8n

Overview

This workflow automates the enrichment of SIEM alerts by integrating advanced AI, threat intelligence, and support platforms within n8n. It leverages OpenAI's language models, MITRE ATT&CK framework, Qdrant vector database, and Zendesk to streamline security incident management.

Key Features

• AI-Powered Alert Analysis: Uses OpenAI chat models and embeddings to interpret and contextualize SIEM alerts.
• Threat Intelligence Integration: Enriches alerts with MITRE ATT&CK data for actionable insights.
• Automated Data Processing: Splits, loads, and processes alert data using token splitters and memory buffers.
• Knowledge Base Search: Utilizes Qdrant for fast vector-based retrieval of relevant documentation.
• Zendesk Integration: Automatically creates or updates support tickets for incident tracking.

Benefits

• Accelerated Incident Response: Reduces manual analysis time by automating enrichment and triage.
• Improved Accuracy: Ensures alerts are contextualized with up-to-date threat intelligence.
• Seamless Collaboration: Integrates with Zendesk for efficient handoff to support or security teams.
• Scalable Automation: Handles high alert volumes with consistent, repeatable processes.

Use Cases

• Security Operations Centers (SOCs) seeking to automate alert enrichment.
• IT teams aiming to integrate threat intelligence and support workflows.
• Organizations looking to reduce response times and improve incident documentation.