I Built KRONOS CORE: An AI Security Gateway for Safer AI-Assisted Software Development

AI coding assistants are becoming part of everyday software development. They help developers move faster, but they can also introduce new risks: unsafe prompts, hallucinated packages, vulnerable dependencies, risky packages, and runtime behavior that may expose sensitive data.

To explore this problem, I built KRONOS CORE — a SaaS-ready AI security gateway for safer AI-assisted software development.

What KRONOS CORE does

KRONOS CORE helps developer teams reduce risks from AI coding assistants by:

• converting raw coding objectives into secure Claude execution blueprints
• auditing risky npm packages and typosquat-style dependency threats
• inspecting sandbox behavior for exfiltration risk
• generating security scores and enterprise-ready PDF reports
• providing a SaaS-ready dashboard with auth, history, billing foundation, and live deployment

Live links

Live demo: https://kronos-core.vercel.app

API docs: https://kronos-core.onrender.com/docs

GitHub: https://github.com/fokrulanthro16-eng/-kronos-core

Peerlist launch post: https://peerlist.io/scroll/post/ACTHJKN8BOAAA6NLJ3KKRR9J7E7EMB

Tech stack

KRONOS CORE is built with:

• Next.js
• FastAPI
• Supabase
• Vercel
• Render
• Python

Why I built it

AI-generated code is useful, but it should not go directly into production without safety checks.

Smaller teams, startups, universities, and public-sector developers often do not have dedicated security review teams. This is especially important in the Global South, where teams may adopt AI tools quickly but may not always have access to expensive enterprise security infrastructure.

KRONOS CORE is an attempt to create a practical safety layer between AI coding assistants and production software.

Current status

The project is live with:

• deployed frontend
• deployed backend
• public GitHub repository
• API documentation
• PDF report export
• authentication foundation
• saved history
• billing foundation
• production deployment package

What I want feedback on

I am looking for feedback on:

• AI safety framing
• secure AI-assisted software development workflows
• dependency risk detection
• sandbox inspection
• developer security tooling
• SaaS architecture

If you work on AI safety, cybersecurity, developer tools, or SaaS infrastructure, I would love your feedback.

Thanks for reading.