Building a 24/7 AI-Powered Cybersecurity Agent for $0
The author built an AI-powered cybersecurity agent that continuously tracks real-world cyber threats, filters noise, and alerts them instantly when something critical happens. The system fetches data from various cybersecurity news sources, processes it using Groq and Llama 3.1, and sends critical alerts via Telegram.
Why it matters
This project provides a practical, real-world solution for continuously monitoring and responding to cybersecurity threats, which is crucial for individuals and organizations to stay secure.
Key Points
- 1Developed an AI-powered cybersecurity agent that runs 24/7
- 2Fetches data from CISA, The Hacker News, Krebs on Security, and BleepingComputer
- 3Uses Groq and Llama 3.1 to generate summaries and severity classifications
- 4Sends critical alerts via Telegram, stores data in SQLite, and serves via FastAPI
Details
The author wanted a system that tracks real-world cyber threats continuously, filters noise, and alerts them instantly when something critical happens. To achieve this, they built an AI-powered cybersecurity agent that fetches data from various cybersecurity news sources, processes it using Groq and Llama 3.1 to generate summaries and severity classifications, and sends critical alerts via Telegram. The system also stores the data in SQLite and serves it through a FastAPI backend. The author used a completely free tech stack, including FastAPI, Groq, SQLite, Railway, Vercel, and Telegram Bot, resulting in a total cost of $0. Key engineering decisions include deduplication using SHA-256 hashing, structured prompting for the AI, and alert control to prevent duplicate notifications. The author learned valuable lessons about building real AI pipelines, debugging deployment issues, and designing scalable data flows.
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