Data Residency

Data residency refers to where data is physically stored and processed. It is the operational and contractual control an organization puts in place to keep data inside a defined geography — for example, "all our customer data stays in the EU." In an AI context, data residency extends beyond stored records to the prompts, retrieved context, and model outputs that flow through a system when an LLM is invoked.

It is related to but distinct from two neighboring terms: data sovereignty (the legal principle that data is subject to the laws of the country it sits in) and data localization (a regulatory mandate to keep data inside national borders). Residency is the geographic control; sovereignty is the law that motivates it; localization is the obligation that can make it mandatory.

How it works

Teams enforce residency by selecting a provider's regional deployment (a specific data center or cloud region), then confirming through contracts and configuration that data is not copied, cached, or routed elsewhere. With AI, the hard part is the inference call: a prompt often carries sensitive records out to a model endpoint. If that endpoint or its logging sits in another region, residency breaks — even if the source database never moved.

How it applies in Salesforce and a GPTfy BYOM context

Salesforce orgs can be provisioned in specific regions, but residency gets tested the moment a record is sent to an external LLM. GPTfy is a Bring Your Own Model (BYOM) layer that runs your chosen model (Claude, GPT, Gemini) from inside Salesforce, with PII masking applied before data leaves the org. Because you control the model endpoint, you can point AI calls at a region-matched deployment — keeping prompts and outputs aligned with your residency commitments.

Concrete example: A German RevOps team needs AI to summarize Case history but is bound to EU residency. With GPTfy, they route inference to an EU-region model endpoint, mask PII first, and keep the AI workflow inside their existing Salesforce data boundary.

FAQ

Is data residency the same as data sovereignty? No. Residency is *where* data physically lives — a geographic control. Sovereignty is the *legal* principle that data is governed by the laws of the jurisdiction it resides in.

Why does data residency matter for AI? AI inference sends prompts and context to a model endpoint. If that endpoint or its logs sit in another region, residency can be violated even when the source database never moved.

Can you keep AI residency compliant in Salesforce? Yes. Using a BYOM approach like GPTfy, you point inference at a region-matched model endpoint and mask PII before data leaves the org, keeping prompts and outputs within your residency boundary.