Protect sensitive data.
Control every AI call.
Herkus AI Call Protect protects sensitive data across external AI calls through execution-bound policies and controlled restoration.
Every AI call completes a deterministic task.
That's what Herkus does today. When your application sends sensitive data to an external AI model, Herkus makes sure the outcome is certain — the right data goes out protected, and only a valid, current result is ever allowed to bring it back.
Is your AI project stuck in security, legal, or procurement review?
Most teams already have a working AI use case. What stops it from reaching production isn't the model — it's the question nobody can answer yet: what happens to our sensitive data once it leaves our systems? Herkus answers that question at the level of a single AI call, so the project already in your budget can pass review and ship.
One protected path for every AI call.
Protects data going in. It doesn't guarantee what comes back.
Checks every result before anything is restored — so what comes back is trustworthy, not just what went out.
No model routing, no traffic management, no rate limiting
We don't sit in the way of your infrastructure choices — just in the way of the data.
Your application, your process, your model choice — unchanged
Protection is bound to the call, not applied once and forgotten. Nothing else about your stack has to move.
Deploy where your data already lives
Default, fastest path
Live in production without standing up new infrastructure.
Single-tenant instance
A dedicated environment for your organization alone.
Inside your cloud
Deployed inside the cloud environment you already control.
Strict isolation
For environments with strict regulatory requirements.
Where Herkus fits today
Protect customer text before it reaches an external model
A controlled, auditable path for every call your platform makes on your customers' behalf.
Calls, emails, and tickets often carry sensitive data
Herkus protects it before it reaches an AI tool — without slowing the workflow down.
See it work on a real AI call.
We start with one execution in your environment — not a platform migration.