GuardAI is now getting its real security foundation.
In this video, we implement production-grade Authentication, RBAC, Multi-Tenancy and Security for our AI SOC Analyst SaaS using Next.js, Supabase, Redis, Tailwind CSS, Framer Motion and shadcn/ui.
We build everything directly into our existing GuardAI application — including email authentication, Google OAuth, OTP password recovery, role-based access, workspace isolation and Row Level Security.
What we implement:
Email/Password Authentication + Email Verification
Google OAuth with Supabase
Tenant Admin & Member Roles
Multi-Tenant Workspace Architecture
PostgreSQL + Supabase RLS
Workspace Data Isolation
Redis Brute-Force Protection
6-Digit OTP Password Reset
OTP Rate Limiting
Secure Logout & Session Invalidation
Super Admin Routing
Protected Routes & Middleware
Modern Responsive SaaS UI
Full Authentication Testing
The most important security rule:
Workspace A must NEVER be able to access Workspace B's data.
This is the security baseline of GuardAI. From here, we'll continue building the remaining AI SaaS features on top of this foundation.
Part of AI Engineer 360 — Phase 6: Full Stack AI SaaS Engineering by The Techzeen.
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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
Google Cloud Console Setup:
https://youtu.be/DTPADGPbJiY?si=G0EhZYsWXfQjWYlB
Get Lecture Notes (GitHub):
https://github.com/farzeen-ali/AI-Engineer-360
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