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PROFESSIONAL-CLOUD-SECURITY-ENGINEER · Question #360

Your organization is building an application powered by generative AI that uses sensitive internal data lo train the AI model. The application is built using Vertex AI, which is generally available…

The correct answer is C. Do nothing. Vertex AI foundation models are frozen by default and do not use your data for model-. Google Cloud’s policy is that customer data (prompts, responses, adapter tuning data, etc.) is not used to train or improve foundation models without the customer’s explicit permission or instruction, so your sensitive data won’t be incorporated into public model tuning by…

Submitted by mike_84· Apr 18, 2026Ensuring data protection

Question

Your organization is building an application powered by generative AI that uses sensitive internal data lo train the AI model. The application is built using Vertex AI, which is generally available in your region. You must ensure Google does not use your sensitive data when tuning public models because it could result in your data being shared with other Google Cloud customers. What should you do?

Options

  • ADo not use Vertex AI for sensitive data. Use only public data with minimal privacy requirements.
  • BEncrypt your data by using customer-managed encryption keys (CMEK) to have full control over
  • CDo nothing. Vertex AI foundation models are frozen by default and do not use your data for model-
  • DContact Google support to opt out of model tuning.

How the community answered

(32 responses)
  • A
    6% (2)
  • B
    3% (1)
  • C
    88% (28)
  • D
    3% (1)

Explanation

Google Cloud’s policy is that customer data (prompts, responses, adapter tuning data, etc.) is not used to train or improve foundation models without the customer’s explicit permission or instruction, so your sensitive data won’t be incorporated into public model tuning by default.

Topics

#Vertex AI data privacy#Generative AI data handling#Model training privacy#Google Cloud data governance

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