AI-Powered Cybersecurity Newsletter

Project Overview

Staying updated with the latest threats in cybersecurity is an overwhelming task due to the sheer volume of daily information. To solve this, I engineered an automated intelligence pipeline that acts as a personal cybersecurity analyst, curating, analyzing, and summarizing global security events into a digestible daily email newsletter.

Workflow Architecture

• Data Aggregation: Python scripts continuously monitor prominent cybersecurity RSS feeds and utilize SerpAPI to scrape real-time vulnerability reports and breach news.
• LLM Processing: The raw data is passed into the Google Gemini LLM, which is prompted to extract key insights, assess threat levels, and summarize the findings into concise paragraphs.
• Automated Delivery: The final formatted HTML newsletter is automatically distributed to a subscriber list via an SMTP email integration.

Impact

This project showcases the powerful synergy between web scraping and Large Language Models. It completely automates the time-consuming process of OSINT (Open-Source Intelligence) gathering, providing actionable security updates with zero manual intervention.