Imagine asking your system:

“What does this alert mean?”
“How do I handle a failed login from China?”
“Where’s our playbook for phishing links?”

In traditional SOCs, answers are buried in outdated wikis or tribal knowledge.
In an AI SOC, answers are instant — because you’ve built a security knowledge assistant powered by vector search and GPT.

This post shows you how to turn your existing SOPs, incident logs, and playbooks into a RAG (Retrieval-Augmented Generation) system that can answer security questions in real-time.

You’ll create an assistant that:

1. Stores security knowledge as text chunks in a vector database
2. Accepts user queries via Slack, Notion, or web form
3. Finds the most relevant content using vector similarity
4. Uses GPT to generate a human-readable, contextual response

You’re not just storing data — you’re building a live advisor.