Assess GDPR breach risk and 72-hour deadlines with Groq and data tables

by Melbin Francis ✓ · 14 views · created 2026-09-08 · SecOps, AI Summarization

What this workflow does

This AI workflow has 32 nodes and runs manually, when you click “Execute workflow” (plus 2 other triggers). Along the way it connects Groq Chat Model and Discord.

How it runs

Trigger: Manually, when you click “Execute workflow” (plus 2 other triggers).

1. Create Risk Factor Table (Data table): create (table)
2. Set Breach Policy (Edit Fields (Set)): sets 4 fields: deadline_hours, high_risk_threshold, large_number_threshold…
3. Set Reminder Policy (Edit Fields (Set)): sets 1 field: warn_hours_left
4. Create Register Table (Data table): create (table)
5. Load Risk Factors (Data table): get
6. Read The Register (Data table): get
7. Create Findings Table (Data table): create (table)
8. Score The Breach (Code): runs custom JavaScript code
9. Check The Deadlines (Code): runs custom JavaScript code
10. Create Reminder Table (Data table): create (table)

…plus 17 more steps. See the full node list below.

Services it uses

Groq Chat ModelDiscord

Before you upgrade to n8n 3.0

Nodes used (12)

• Manual Triggern8n-nodes-base.manualTrigger
• Data tablen8n-nodes-base.dataTable
• Coden8n-nodes-base.code
• n8n Form Triggern8n-nodes-base.formTrigger
• Edit Fields (Set)n8n-nodes-base.set
• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
• Groq Chat Model@n8n/n8n-nodes-langchain.lmChatGroq
• Structured Output Parser@n8n/n8n-nodes-langchain.outputParserStructured
• Ifn8n-nodes-base.if
• Discordn8n-nodes-base.discord
• n8n Formn8n-nodes-base.form
• Schedule Triggern8n-nodes-base.scheduleTrigger

From the author

Quick overview This workflow collects suspected personal data breach reports via an n8n form, scores them against GDPR risk factors stored in n8n Data Tables, uses Groq to validate additional risk factors from the text, calculates the 72-hour notification…

View the original on n8n.io → Check your own copy