VedaStudio is built on one working assumption: the operator is the adversary. Even a customer with full root access to their own deployment cannot extract our algorithms or see another tenant’s intelligence, and every claim on this page is checked by a running pipeline, not a policy document.
Your data stays in your own cloud, and our intelligence layer never touches it directly. Architecturally the two are kept apart: what we call the control plane holds the intelligence, and the data plane holds your data, sealed inside its own boundary. Nothing about that boundary depends on anyone behaving well.
Every tier runs the same governed engine. What changes is where your data lives and how strictly we prove it stayed there. (Procurement teams working from a vendor checklist will also know these as BYOC Standard and BYOC Confidential; we use Private Cloud and Confidential Cloud here because that is what they actually describe.)
Runs on our cloud with isolated tenancy, so a team can begin in days, not quarters.
The data plane runs inside your own account, with keys you hold and residency kept in region. The intelligence stays on our control plane; your data stays with you.
Sealed enclaves and an attested runtime, for the customers whose threat model assumes the worst of everyone, including us. A software-only attestation is mechanically rejected on this tier, never silently accepted.
Confidential compute is supported across the major clouds. Where no hardware enclave is present, the platform falls back to software-only attestation and says so plainly, rather than treating the two as equivalent.
Models and workflows remain on the control plane. Your data stays on the data plane, in your own cloud. The two speak across a signed HTTPS boundary, and nothing else crosses it.
Resolution runs on a pseudonymous key that holds zero raw data. Cohorts answer the question while personal data stays inside your cluster.
Even a customer with full root access to their own Confidential Cloud deployment cannot extract our algorithms, reverse-engineer scoring logic, or see another tenant’s intelligence. The same discipline that keeps your data sealed from us keeps our intelligence sealed from you, and both are enforced by the same boundary, not by contract language.
Identity resolution runs on a pseudonymous key that holds zero raw data: cohorts answer the question you asked, while personal data stays inside your cluster.
“Attested runtime” is not a badge we print once at contract signature. It is a pipeline that runs on every single request. Here is what it actually checks, in order, and what happens if any one step fails.
Fail any one step, and nothing downstream runs. This is the pipeline behind the word “attested,” not the word alone.
Real infrastructure fails sometimes: a confidential-compute provider’s attestation service has an outage, a customer migrates clusters, a platform ships an emergency firmware update. We have a considered answer to each of those, not an improvised one.
A time-boxed grace policy exists for exactly these situations. It relaxes specific, named checks under a logged exception with a fixed expiry, and it never reopens every capability at once: only the scopes each grace policy names remain available while it is active. Provider health is tracked continuously, an outage is formally declared after five consecutive verification failures, and recovery is logged the same way the failure was. Nothing about a bad day is handled quietly or informally.
Every action writes to a tamper-evident log built from three layers working together: append-only audit tables, object storage locked against deletion or alteration for a configurable retention window, and a duplicate write to the control plane for critical events. Entries are hash-chained, so tampering is structurally detectable, not merely against policy.
Request the security overviewThis same discipline extends to your data-rights obligations: VedaStudio ships a right-to-erasure API, a data-portability export, a registry that classifies sensitive columns, and an access-audit log tracking who touched sensitive data and when. These are working capabilities inside the product, not policy promises.