This n8n workflow implements a comprehensive multi-layered security pipeline for analyzing, validating, sanitizing, and formatting user-generated content before it is delivered or stored. Designed to safeguard systems from malicious payloads such as prompt injections, code injections, and harmful URLs, it employs multiple AI-driven nodes and validation layers to detect and neutralize threats effectively.

The workflow begins with a webhook trigger receiving content submissions, which are then subjected to initial threat detection using GPT-4-based pattern recognition nodes focused on input validation and threat classification. If content is flagged as risky, it is rejected immediately, and a detailed email report is sent to administrators. Risky content is also sanitized in subsequent nodes, stripping malicious scripts, replacing dangerous URLs, and neutralizing malicious code injections while preserving legitimate information.

Further layers include content formatting for various platforms, final quality assurance checks, and decision nodes that determine whether the content is safe for delivery, needs reprocessing, or requires escalation for review. The process ensures high security standards, content integrity, and readiness for deployment in environments like WordPress or other content management systems.

This workflow is ideal for online platforms where user input must be rigorously vetted to prevent security breaches, data exfiltration, or content policy violations, such as in blogging, forums, or educational sites.