Define where your data can go

Separate two data flows

Vibe coding is useful for exploring a workflow with fictional records. The risk changes when real company information enters the tool. This can happen before the application has any users.

There are two flows to inspect. The development flow includes prompts, repository context, attachments, tool output, and diagnostic logs. The application flow includes user requests, databases, integrations, telemetry, and backups. Each flow can have different recipients and controls.

Consider a fictional expense application. Its database runs in an approved cloud account. A developer pastes a real claim into an assistant to fix a parser. The claim includes an employee name, a receipt, and bank details. The approved database location does not establish permission for this separate disclosure.

Inspect the complete route

Draw the route before adding confidential data. Name the actual service and account at each step. A product label such as “enterprise” is not a data-flow diagram.

Record the applicable contract and configuration. Check subprocessors, deletion behavior, training terms, and international transfers where relevant. Ask the responsible privacy and security owners to resolve uncertainty.

GDPR requirements depend on the processing context. Relevant provisions include data minimization, processor arrangements, security, and impact assessment. Company confidentiality also covers information that is not personal data, such as source code or commercial plans. Read the regulation.

Start with a useful fictional fixture

A safe example still needs realistic structure. Replace names, identifiers, and account numbers. Preserve the conditions that caused the defect: a missing field, an unusual date, or a long description.

Do not label a copied production record “synthetic” after changing one name. Remaining fields can identify a person or disclose a transaction. Build a new record from the schema and the failure condition.

Keep credentials outside prompts and fixtures. If the task needs a secret, use the approved secret mechanism with limited access. An instruction to “keep this private” does not enforce a technical boundary.

Verify, then expand the use

Write a short permitted-use decision: the data categories, approved service configuration, allowed actions, and owner. Include an expiry or review trigger. A new connector, model route, or logging configuration can change the decision.

If information reaches an unapproved recipient, stop further disclosure and follow the incident process. Record what was shared and where. Avoid copying the sensitive material into more tickets or chats.

The practical goal is controlled use. Fictional data supports fast exploration. Verified processing boundaries support the next step into company workflows. Neither a polished demo nor a cloud region answers all the required questions.