[sharmasachin98]

This is absolutely a real problem, especially in enterprise GenAI rollouts where hallucinations and data leakage risks are non-negotiable.

We’ve run into scenarios where LLMs exposed internal data just through cleverly crafted prompts. Your ability to inspect and enforce policies at both prompt and response level is spot on.

If I were in your shoes, I’d seriously consider open-sourcing the data plane, especially since your control plane is where monetization lies. It builds trust, invites contributions, and positions you as a default in this emerging category.

And no, you're not early, you're exactly on time. Most companies are just realizing how much risk they’ve shipped into production.

[iLikeFunctional]

Thank you, this really helps. Totally agree—hallucinations and leakage are scary, especially when prompts can be engineered to expose things you didn’t think were vulnerable.

We’ve been leaning toward open-sourcing the data plane for exactly the reasons you mentioned: trust, adoption, and building a community around the core tech. But I’ll be honest—there’s still that fear in the back of my mind: what if someone forks it, strips out the branding, and rehosts it? Or if buyers say “well, it’s open source, why should we pay anything?”

Did you or your team ever wrestle with that? Or have you seen OSS models work well in this space where the control plane still delivers enough value to justify a paid tier?