Kamalraj

AI-Powered Vendor Policy & RSS Feed Analysis with Integrated Risk Scoring

🧠 Overview A dual-engine, AI-driven n8n workflow that automates the monitoring of both vendor policy webpages and compliance-related RSS feeds. It intelligently detects recent updates, evaluates their potential risk, and delivers a structured HTML digest categorized by severity — right to your inbox. --- ⚙️ How It Works 1️⃣ Scheduled Execution ⏰ Runs daily at 3 AM to ensure timely and consistent monitoring. 2️⃣ Dual Data Streams 📰 RSS Feed Monitoring: Ingests articles from selected feeds focused on security, privacy, and compliance. 🌐 Vendor Webpage Monitoring: Fetches specified policy URLs and checks for updates using Last-Modified headers and in-page content analysis. 3️⃣ Content Filtering 🧹 Applies logic to filter out stale or irrelevant data, focusing only on updates within the past 24 hours. 4️⃣ AI-Powered Risk Categorization 🤖 Two dedicated AI agents (one per stream) analyze content to: 📝 Generate a 2-line compliance/risk-focused summary 🚦 Assign a risk score: High, Medium, Low, or Informational 5️⃣ Digest Generation 🖼️ Summaries are grouped by risk level and formatted into a visually polished HTML report, using category-specific styles and color coding. 6️⃣ Email Delivery 📧 Automatically sends out two separate email reports via Gmail: 🗂️ One for vendor webpage updates 📰 One for RSS feed-based vendor news --- ✨ Key Features 🔁 Automates daily monitoring across feeds and policy pages 🤖 AI-driven summarization and structured risk scoring 🧾 Clean, HTML-formatted digests grouped by risk category 🧩 Fully customizable: feed sources, vendor URLs, AI prompts, and email styling 🛡️ Designed for compliance, security, and risk teams needing proactive intelligence

By Kamalraj

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