GuardAI now has its core AI security engine.

In this video, I build the complete security log ingestion + RAG pipeline for GuardAI, an AI SOC Analyst SaaS.

We go from raw security logs to AI-powered threat reports using Next.js, Supabase PostgreSQL, pgvector, OpenAI, Vercel AI SDK, and Upstash QStash.

What I build:
* Secure .json, .csv, .syslog and log file ingestion
* File validation, sanitization and PII masking
* Async background processing with Upstash QStash
* Log chunking and OpenAI embeddings
* PostgreSQL + pgvector vector storage
* Workspace-level RLS isolation
* Cosine similarity vector search
* Complete RAG threat analysis pipeline
* Structured threat type, severity, explanation and remediation output
* Full end-to-end GuardAI testing

I also use Claude Code to accelerate the implementation and engineer the complete pipeline.

This is Video 32 of Phase 6 — Full Stack AI SaaS Engineering in AI Engineer 360.

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Visit Our Website:
https://www.thetechzeen.com/

Source Code:
https://github.com/farzeen-ali/AI-SOC-Analyst

Full Playlist (AI ENGINEER 360°):
https://www.youtube.com/playlist?list=PL5OhSdfH4uDtyUmg0r-F5UeQ9sineyE9t

Get Lecture Notes (GitHub):
https://github.com/farzeen-ali/AI-Engineer-360

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