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Google was one of the first in the industry to publish an
AI/ML Privacy Commitment,
which outlines our belief that customers should have the highest level of
security and control over their data that is stored in the cloud. That
commitment extends to Google Cloud generative AI products. Google helps ensure
that its teams are following these commitments through robust data governance
practices, which includes reviews of the data that Google Cloud uses in
the development of its products. More details about how Google processes data
can also be found in
Google's Customer Data Processing Addendum (CDPA).
Usage of generative AI
AI Applications uses generative AI services for building search, personalized,
and conversational experiences.
As part of the Google Cloud AI/ML Privacy Commitment, customer data used
in AI Applications is not used to train foundation models.
Foundation models are frozen and only process input to provide output for the
services provided by AI Applications.
Customer-specific models
When applicable, customer-specific models are built automatically and used only
in the context of the project that is specific to the customer for the
AI Applications service.
Any customer data used to create these customer-specific models is not used to
train foundation models.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-25 UTC."],[[["\u003cp\u003eGoogle has an AI/ML Privacy Commitment, ensuring customers have control and security over their cloud data, extended to generative AI products.\u003c/p\u003e\n"],["\u003cp\u003eData governance practices, including reviews, ensure that Google Cloud teams adhere to their data usage commitments.\u003c/p\u003e\n"],["\u003cp\u003eCustomer data used in Vertex AI Agent Builder is not used to train foundation models.\u003c/p\u003e\n"],["\u003cp\u003eCustomer-specific models are built for individual customer projects, and the data used is not used to train foundation models.\u003c/p\u003e\n"],["\u003cp\u003eCustomer-specific models, and all customer data, are protected by Google's security controls and best practices.\u003c/p\u003e\n"]]],[],null,["# Data governance and generative AI\n\nGoogle was one of the first in the industry to publish an\n[AI/ML Privacy Commitment](/blog/products/ai-machine-learning/google-cloud-unveils-ai-and-ml-privacy-commitment),\nwhich outlines our belief that customers should have the highest level of\nsecurity and control over their data that is stored in the cloud. That\ncommitment extends to Google Cloud generative AI products. Google helps ensure\nthat its teams are following these commitments through robust data governance\npractices, which includes reviews of the data that Google Cloud uses in\nthe development of its products. More details about how Google processes data\ncan also be found in\n[Google's Customer Data Processing Addendum (CDPA)](/terms/data-processing-addendum).\n\nUsage of generative AI\n----------------------\n\nAI Applications uses generative AI services for building search, personalized,\nand conversational experiences.\n\nAs part of the Google Cloud AI/ML Privacy Commitment, customer data used\nin AI Applications is not used to train foundation models.\n\nFoundation models are frozen and only process input to provide output for the\nservices provided by AI Applications.\n\nCustomer-specific models\n------------------------\n\nWhen applicable, customer-specific models are built automatically and used only\nin the context of the project that is specific to the customer for the\nAI Applications service.\n\nAny customer data used to create these customer-specific models is not used to\ntrain foundation models.\n\nCustomer-specific models, much like all customer data, continues to be\nprotected by\n[Google's security controls and best practices](/docs/security/overview/whitepaper)."]]
