Subramanyan Balakrishnan

Subramanyan Balakrishnan

CEO @ Catalyst Ops Building SecuriX.

About

After 13 rewarding years at Zoho, I decided to step back in mid-2025 to follow a personal curiosity about where technology is heading. I’ve spent the last several months in a learning phase—diving into the fundamentals of AI and researching how agentic systems are evolving. This journey led to co-founding Catalyst Ops with Kural. We are building SecuriX, an Agent Access Security Broker (AASB). Our focus is creating a "Trust Layer" that empowers autonomous agents without compromising personal data sovereignty. I’m a believer in Fair Source and building infrastructure that puts the user in control. Always happy to connect with fellow makers and anyone curious about the future of secure AI.

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Maker History

  • SecuriX
    SecuriXTrust Layer for Autonomous AI
    May 2026
  • 🎉
    Joined Product HuntMarch 5th, 2026

Forums

100 Days of Catalyst Ops Building SecuriX

Hey Hunters!

A few weeks back, we launched SecuriX Personal right here on Product Hunt. The feedback, tracking metrics, and feature requests we received from this community completely validated our core mission: giving granular control over what AI agents/chatbots can see and do.

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:

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