Your integration layer is the one place your compliance boundary leaks
Samba is an integration platform: it uses the APIs of the systems and SaaS
applications you already run, and keeps records in sync between them. And it never creates that leak — it runs inside your own
Kubernetes cluster, under your identity, on your network, so your credentials, payloads, and
audit logs never cross into a vendor's tenant.
Every AI-generated transform is grammar-validated Python you can read, test, and
source-control. Not an opaque model artifact you have to take on faith.
See every feature on one page →
Three things that are structural, not policy
Built for organizations whose data handling gets examined — by an auditor, an assessor, or a regulator.
Structural isolation
Not a tenancy setting. Not "logical separation." Samba deploys into your cluster, your IAM, your network, your authorization boundary. There is no shared runtime to be isolated from, because there is no shared runtime.
Inspectable AI
A non-deterministic model behind a deterministic gate. Every AI-generated artifact is validated against a formal grammar before it can reach the runtime, and what ships is Python a human reviews and a unit test covers.
Evidence as product
Change history the application itself cannot rewrite, and 54 security controls evaluated live against the cluster Samba is running in. Your assessor reads it directly, in your environment, on their schedule.
When data must stay inside your boundary
This compares two architectures, not two vendors. Both are legitimate designs, and most organizations should buy the other one. This is about the case where you can't.
Single-tenant, customer-deployed |
Multi-tenant SaaS | |
|---|---|---|
| Where your payloads are processed | Your cluster |
The vendor's tenant |
| Who holds your system credentials | Your secret store |
The vendor's platform |
| Authorization boundary | Extends the one you have |
A new one to sponsor |
| In your vendor risk assessment | Software you operate |
A data processor you depend on |
| Who controls the upgrade window | You do |
The vendor's release schedule |
| Control evidence for an assessor | Generated in your environment |
Requested from the vendor |
Who Samba is for
Organizations where the integration tier lands inside an audit, an assessment, or an authorization boundary.
Healthcare payers & providers
PHI in the integration layer is the audit finding nobody wants — and there is no BAA to negotiate when the vendor never holds your data.
Defense industrial base
Every system that touches CUI lands in your assessment scope. Samba lands inside the enclave you already have, instead of adding a vendor to your SSP.
Financial services
Examiners ask what happens to data in the integration tier. "It's in the vendor's cloud" is an expensive answer.
Life sciences & medical device
You control the version and the change window. Deterministic validation plus an immutable change record is an IQ/OQ/PQ story, not only a security one.
Energy & utilities
Deployable inside your segmented network, with no vendor callback path required for the data plane.
State, local & higher education
Extend the authorization you already have. No new vendor authorization to sponsor, no new data-sharing agreement to negotiate.
If your integration need is connector breadth across hundreds of SaaS apps, or a multi-tenant runtime for raw throughput, Samba is the wrong tool — and we will tell you so on the first call.
How it works
Zero connectors to license. REST, Python, and a grammar that keeps the AI inside the lines.
Define endpoints
Point Samba at your source and target systems and describe the REST interfaces — JSON or XML — using your own credentials, from your own secret store.
Map and transform
Field mappings are plain Python expressions. AI can draft them; the grammar engine decides whether the draft is admissible before it reaches the runtime.
Orchestrate
Chain endpoints into multi-step flows with replication, deduplication, and explicit error handling. Sandbox and production execution are separated at the container level.
Operate and evidence
Schedule or trigger runs and monitor every step — then hand your assessor a control view that evaluates itself against the cluster, not a questionnaire response.