Summary

  • This article is the seventh in a series about creating an AI-driven security operations centre (SOC) and shows how to make a security knowledge assistant using RAG and GPT.
  • The system will use existing standard operating procedures (SOPs), incident logs and playbooks to create a retrieval-augmented generation (RAG) system that can swiftly respond to security questions.
  • It stores security knowledge as text chunks in a vector database, receives user queries via Slack, Notion or web form, finds the most suitable content using vector similarity and generates a human-readable response using the GPT tool.
  • The end result is a live advisor, not simply a data storage system.

By Corey Jones

Original Article