Blocking public AI doesn't work. Here is how we built a secure enterprise gateway instead. 🛠️

Hey everyone!

Over the last few months, my team and I have been talking to IT Directors and CISOs who are terrified of corporate data leaking into public LLMs. Their default reaction? Block ChatGPT on the company firewall.

Right now, if a company wants to give official AI access to its non-technical teams (Marketing, HR, Ops), the default move is to buy individual $20-$30/mo seats for ChatGPT Plus or Claude.

Here is the problem: Non-devs use AI dynamically. Your marketing lead might use it 10x a day, while your HR manager uses it 2x a week. Yet, you pay a flat enterprise rate for both, burning through capital for idle seats.

So, we are building SecuriX—an enterprise LLM gateway that kills per-seat pricing.

Instead of individual licenses, we:

• Pool Usage: Route all internal traffic through a single Admin API key so you pay strictly for the tokens consumed (usually cutting costs by 50%).

• Provide the UI: We include a pre-attached, secure MCP chatbot so employees have a safe place to work without leaking data.

• Give Total Observability: Granular token budgets and model whitelisting per team.

I’m curious how other founders and IT folks here are handling this. Are you eating the cost of per-seat licenses, building internal wrappers, or just letting employees expense their own accounts?

(Also, if you are struggling with this, we just opened our early access waitlist for enterprise pilots: https://securix.app/for-enterprise#waitlist)

Would love to hear your thoughts!