Monitor compliance with GPT-4 analysis of system logs and generate audit reports

by Cheng Siong Chin ✓ · 186 views · created 2025-12-14 · SecOps, AI Summarization

What this workflow does

This AI workflow has 17 nodes and runs on a schedule (every day at 02:00). Along the way it connects OpenAI Chat Model and Gmail.

How it runs

Trigger: On a schedule (every day at 02:00).

1. Workflow Configuration (Edit Fields (Set)): sets 8 fields: serverLogsUrl, apiGatewayLogsUrl, hrSystemUrl…
2. Pull Server Logs (HTTP Request): calls an HTTP API
3. Pull API Gateway Logs (HTTP Request): calls an HTTP API
4. Pull HR System Data (HTTP Request): calls an HTTP API
5. Pull Finance System Data (HTTP Request): calls an HTTP API
6. Combine All Logs (Aggregate): combines items into one
7. Normalize Log Data (Edit Fields (Set)): sets 4 fields: timestamp, source, logData…
8. AI Compliance Classifier (AI Agent): runs an AI agent, with model: OpenAI GPT-; output parser: Structured Violation Output
9. Check for Violations (If): checks a condition and branches into true / false
10. Archive Evidence to Storage (HTTP Request): calls an HTTP API (POST)

…plus 4 more steps. See the full node list below.

Services it uses

OpenAI Chat ModelGmail

Before you upgrade to n8n 3.0

Nodes used (10)

• Schedule Triggern8n-nodes-base.scheduleTrigger
• Edit Fields (Set)n8n-nodes-base.set
• HTTP Requestn8n-nodes-base.httpRequest
• Aggregaten8n-nodes-base.aggregate
• AI Agent@n8n/n8n-nodes-langchain.agent
• OpenAI Chat Model@n8n/n8n-nodes-langchain.lmChatOpenAi
• Structured Output Parser@n8n/n8n-nodes-langchain.outputParserStructured
• Ifn8n-nodes-base.if
• Coden8n-nodes-base.code
• Gmailn8n-nodes-base.gmail

From the author

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