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Data Residency for Cursor: A Practical Guide

Many teams assume that simply deploying Cursor in a cloud region automatically satisfies data residency requirements. In reality, the location of the service does not guarantee that every request, log, or backup respects the same jurisdictional constraints. How teams currently handle Cursor connections Developers often run Cursor locally during development, push code to a shared repository, and let CI pipelines invoke the Cursor API with a static service token. Production workloads typically

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Many teams assume that simply deploying Cursor in a cloud region automatically satisfies data residency requirements. In reality, the location of the service does not guarantee that every request, log, or backup respects the same jurisdictional constraints.

How teams currently handle Cursor connections

Developers often run Cursor locally during development, push code to a shared repository, and let CI pipelines invoke the Cursor API with a static service token. Production workloads typically embed that token in environment variables or configuration files that live on the host where the application runs. The token grants unrestricted access to the Cursor instance, and the connection goes straight from the application to the Cursor endpoint. Auditing is limited to what the application logs, which may be incomplete, and there is no guarantee that data never leaves the chosen region. The result is a de facto data‑flow that can cross borders without any technical control.

What a residency‑aware gateway must provide

To meet strict residency mandates, an organization needs three things. First, a setup step that authenticates the caller – usually an OIDC or SAML token that proves the identity and group membership of the requestor. Second, a data‑path component that sits between the caller and Cursor, where every request can be inspected. Third, enforcement outcomes that ensure the request complies with residency policy, such as rejecting calls that would store data in an unauthorized region, masking location‑sensitive fields in responses, and recording the transaction for later review.

The setup step alone is insufficient. Even with perfect identity verification, a request that reaches Cursor directly can still violate residency rules because the gateway that could enforce those rules is missing. The missing piece is the data‑path enforcement point that can apply policy before the request touches the service.

Introducing hoop.dev as the data‑path enforcement point

hoop.dev is designed to sit in the data path for any Cursor connection. It accepts the caller’s OIDC token, validates the identity, and then proxies the request to the Cursor endpoint. While the request passes through hoop.dev, the gateway can apply residency checks, mask fields that contain region identifiers, and log the full session. Because the enforcement happens inside hoop.dev, the application never sees the underlying credentials, and the policy cannot be bypassed by altering the client.

Setup: identity and least‑privilege grants

Operators configure an OIDC provider (for example, Azure AD or Google Workspace) and define a group that represents users allowed to access Cursor. hoop.dev reads the token, extracts the group claim, and maps it to a policy that permits or denies the request. This step decides who the request is and whether it may start, but it does not enforce residency on its own.

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The data path: proxying Cursor traffic

All Cursor traffic is forced through hoop.dev. The gateway terminates the client connection, inspects the wire‑level protocol, and forwards the request only after the residency policy has been evaluated. Because the proxy is the sole path to the service, any attempt to reach Cursor directly is blocked by network rules.

Enforcement outcomes: residency checks and audit

hoop.dev evaluates each request against a residency rule set. If the request would cause data to be written to a storage bucket in a different region, hoop.dev rejects the operation and returns a clear error. When the response contains location‑specific metadata, hoop.dev masks those fields before they reach the caller. Additionally, hoop.dev records the full session, including request metadata, decision outcome, and any masked data, providing a replayable audit trail that satisfies regulator‑required evidence.

Practical steps to secure Cursor with hoop.dev

Start by reviewing your organization’s residency policy: which regions are approved, what data classifications require masking, and how long audit logs must be retained. Next, configure your OIDC provider with a dedicated group for Cursor users and map that group to a hoop.dev policy that references the residency rules. Deploy the hoop.dev gateway in the same VPC or subnet as your Cursor instance so that network egress to the service must pass through the proxy. Finally, enable session recording and masking in the hoop.dev configuration. The official getting started guide walks you through the deployment, and the learn section provides deeper insight into policy authoring.

FAQ

Does hoop.dev store any Cursor data?

No. hoop.dev only records metadata about the request and the enforcement decision. The actual payload remains with Cursor, and any masking is performed in‑flight.

Can existing Cursor clients use hoop.dev without code changes?

Yes. Because hoop.dev proxies standard Cursor protocols, clients continue to use their normal libraries and command‑line tools; the only change is the endpoint address pointing at the gateway.

What evidence does hoop.dev provide for auditors?

hoop.dev generates per‑session logs that include the authenticated identity, the request details, the residency decision, and timestamps. Those logs constitute the audit evidence needed to demonstrate compliance with data residency regulations.

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