Filter Cybersecurity News for Your Tech Stack (OpenAI + Pinecone RAG)

This workflow automates the collection of cybersecurity news from trusted RSS feeds, focusing on threat intelligence, vulnerabilities, and vendor advisories. It uses Pinecone as a free vector store to embed your organization's .txt scope documents describing tech stack, vendors, frameworks, and security tools. OpenAI's Retrieval-Augmented Generation (RAG) then filters articles for direct relevance by matching news content against your embedded scope, ensuring only pertinent updates are processed.

Articles are first filtered by recency using publish dates to exclude outdated content. For relevant items, OpenAI generates concise summaries highlighting key points and assesses their actionability or criticality. This context-aware approach prioritizes news impacting your security posture, compliance, or operations, saving hours of manual monitoring.

Ideal for security teams, DevOps, and IT managers in tech-heavy environments. Benefits include proactive threat awareness, reduced noise from irrelevant news, and automated daily emails with actionable insights. Use cases: Enterprises tracking vendor-specific vulnerabilities, compliance officers monitoring regulatory changes for their stack, or startups staying ahead of risks to cloud platforms and languages like AWS, Python, or Kubernetes.