For production LLM inference
Securing the foundation of the inference stack.
- KV cache first
- We never see the prompt
Why we exist
The list of things that go wrong keeps growing.
A new detector for every attack, every surface, does not scale.
So we watch KV pages.
Those failures already share one place: the model's computation. Text, voice, tools, and agents all land there.
And we learn their shape.
From your own traffic we learn how your workload normally computes. What doesn't fit surfaces, attack or ordinary breakage alike. One baseline, not a detector per failure.
Design partners
A small number of design partners.
You bring a workload; we sit with your team until it proves itself, or doesn't.
Become a design partner