Automated Cyber Threat News Monitoring and Filtering

This n8n workflow automates the collection, analysis, and filtering of cybersecurity news from multiple RSS feeds. Triggered daily on weekdays at 8 AM, it reads news articles from sources such as Bleeping Computer, The Hacker News, Security Week, NIST, and KrebsOnSecurity. The workflow utilizes advanced AI models to evaluate the relevance of each article based on specific vulnerabilities, actionable threats, and company-defined scope, ensuring only the most critical updates are forwarded. It incorporates Pinecone vector databases for contextual relevance, employs rate-limiting to manage processing load, and summarizes actionable news into a consolidated email notification. This process helps cybersecurity teams stay informed on relevant threats while reducing information overload, making it ideal for proactive threat monitoring and alerting in security operations.