Detect fraud in user activity with PostgreSQL, OpenAI and Slack

AI Fraud Detection Workflow

> n8n + PostgreSQL + OpenAI + Slack

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This AI Fraud Detection Workflow is an automated n8n pipeline that analyzes user activity in real time using a combination of rule-based fraud detection, AI interpretation and historical behavioral context. It processes events like login attempts, password changes or transactions, evaluates risk, stores results in PostgreSQL and triggers alerts for high-risk activity.

Quick Implementation Steps

1. [Import workflow into n8n](https://n8n.partnerlinks.io/om1efg2qgvwi) 2. Configure webhook endpoint /user-activity 3. Set up PostgreSQL connection and useractivitylogs table 4. Add OpenAI API credentials 5. Configure alerting node (Slack or alternative) 6. Activate workflow and test with sample payload

What It Does

This workflow continuously monitors user activity events and evaluates them for suspicious behavior.