Is anything sent to KC used to train models?
No. Content sent to Keldyn — including prompts, tool inputs, and governance data that AI features or KC tool calls process — is used only to serve that request. Keldyn does not use customer content to train or fine-tune any model. See AI data handling for the full posture (human oversight, access control on AI artifacts).Where is data processed and stored, and under which jurisdiction?
Keldyn’s application, API, and MCP server run on cloud application-hosting infrastructure operated by companies based in the United States, and the primary application database is a managed PostgreSQL service. Data you send to Keldyn — directly or through KC — is processed and stored on this infrastructure. Not every AI-assisted feature or KC action calls out to a model provider — for example, code review and evidence-collection prompts run entirely on your own agent’s model, not Keldyn’s. Where a Keldyn-side model call does happen (for example, generating an architecture summary when an architecture is saved), the request is routed through an AI inference gateway to a model provider; that hop is transient and is not used for training. See Data flow for exactly which steps involve this hop. Exact regions and any data-residency commitments for your contract are confirmed on the Trust Center rather than restated here, since infrastructure and regional configuration can change.Which subprocessors are involved when KC runs?
When you use KC (or the Keldyn web app), the following subprocessors are involved in processing your data:
This list reflects the subprocessors in the data path for a typical KC request. The Trust Center is the authoritative, current subprocessor list for your organization’s contract — check it for any additions or changes.