
Cybersecurity Ticket Enrichment with MITRE & AI
An n8n workflow that enriches Zendesk tickets using MITRE ATT&CK data by embedding it into a Qdrant vector store and querying with OpenAI's GPT-4 and embeddings. It automates extraction of TTPs, remediation steps, and historical context from SIEM alerts using LangChain agents and structured parsers.
Apps in this workflow
How it works
- Chat Trigger1
- Manual Trigger2
- AI Agent3
Google Drive4
- Extract from File5
- Split Out6
Qdrant Vector Store7
OpenAI Chat Model8
OpenAI Embeddings9- Document Loader10
- Token Splitter11
- Chat Memory12
- +33 more step types
The building blocks this workflow uses, in the order data flows through them.
What you'll need
- An n8n instance (self-hosted or n8n Cloud).
- A Google Drive account, connected in n8n as a credential.
- A Qdrant account, connected in n8n as a credential.
- A Zendesk account, connected in n8n as a credential.
- An API key for OpenAI in n8n: the workflow calls the model each time it runs.
Gydmation shows step-by-step credential setup for each app, so your keys go straight into n8n and never to Gydmation.
Make it yours in plain English
Open the template in Gydmation and describe the change. It edits the workflow, checks it against real n8n node schemas, and deploys it to your n8n. For example:
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