📌 Objective Build an autonomous multi-agent threat intelligence workflow for government and enterprise security operations. The system eliminates manual research by fetching daily cyber trends from top security sources, analyzing articles with AI, and delivering automated threat intelligence reports directly to Telegram channels with built-in error handling.

🧩 How It Works

Multi-Source Data Ingestion & Deduplication

• Triggers automatically on a daily schedule to fetch live RSS/news feeds from trusted cyber platforms (Hacker News, Bleeping Computer, CISA, and Krebs on Security).

• Merges incoming feed items, removes duplicate articles, and caps data limits for optimal processing.

AI-Powered Threat Analysis

• Leverages an AI Agent powered by Groq Chat Model to process raw cybersecurity articles.

• Analyzes emerging vulnerabilities, malware alerts, and global cyber trends in real time.

• Summarizes complex security technical details into clear, actionable intelligence briefings.

Automated Reporting & Self-Healing Pipeline

• Formats intelligence outputs into structured, executive-ready messaging templates.

• Dispatches formatted daily cyber reports directly to designated partner Telegram channels.

• Features error-handling branches that send instant alerts if feed parsing or AI generation fails.

🚀 Key Results

• 100% elimination of manual daily cybersecurity research and news gathering

• Over 20+ analyst hours saved weekly per security team member

• Instant real-time alerts on critical CISA advisories and zero-day vulnerabilities

• Automated deduplication of over 100+ raw articles down to actionable daily digests

• Zero downtime reporting with automated fallback error notification system

🛠️ Powered By n8n Workflow Automation • Groq AI / LLM Model • RSS & Web Scraping Nodes • Telegram Bot API • Multi-Agent Intelligence Architecture