Vertex AI data storage and human review policy

[uulee]

Hi everyone!

I am planning to use Gemini through Vertex AI and want to understand the data storage policy. Are user prompts stored on Google Cloud’s servers and retained for a certain period? If so, can I opt out of human review for stored prompts? I am working with sensitive data that cannot be shared, so any related documentation would be helpful.

Thanks!

[MarvinLlamas]

Hi @uulee,

Welcome to Google Cloud Community!

It looks like you are trying to ensure the confidentiality and security of your sensitive data while using Gemini through Vertex AI. You're particularly worried about whether your prompts and responses are stored and potentially reviewed by humans, and you're seeking a way to prevent this to protect the sensitive nature of your data.

Here are the potential ways that might help with your use case:

• Disable Data Logging During Model Deployment: To protect your sensitive data, you should disable data logging when you create or deploy the Gemini model in Vertex AI. After deployment, verify that you have disabled logging by checking the configuration based on your deployment method. This will ensure your sensitive data remains secure.
• Data Masking/Redaction: If possible, you should consider masking or redacting sensitive information from your prompts before sending them to the model. This adds an extra layer of protection for you.
• Regular Audits: Make sure you periodically audit your Vertex AI configuration to ensure that your data logging remains disabled and that your other security measures are in place.
• Secure Storage: If you need to temporarily store your prompts or responses for your own purposes (e.g., debugging), make sure you store them securely using Google Cloud Storage (GCS) with appropriate encryption and access controls.

For more detailed information, you can refer to the following documentation on Google Cloud's Cloud Storage:

• Cloud Storage documentation

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