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.
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.