Google 是业界首家发布 AI/机器学习隐私权承诺的公司之一，该承诺概述了客户应拥有最高级别安全性并能够控制其在云中存储的数据的这一信念。该承诺会延伸到 Google Cloud 生成式 AI 产品。Google 通过健全的数据治理实践（包括审核 Google Cloud 在其产品开发中使用的数据），帮助确保 Google 团队遵循这些承诺。如需详细了解 Google 如何处理数据，请参阅客户数据处理附录 (CDPA) 或适用于您的 Google Cloud 服务的数据处理协议。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC)：2025-08-19。"],[[["\u003cp\u003eGemini for Google Cloud adheres to Google's AI/ML privacy commitment, ensuring high security and control over customer data.\u003c/p\u003e\n"],["\u003cp\u003ePrompts and responses in Gemini are not used to train its models, preserving data privacy, but some optional features in the Trusted Tester Program share data for product improvements.\u003c/p\u003e\n"],["\u003cp\u003eCode customization features securely access and store private code to provide tailored code suggestions.\u003c/p\u003e\n"],["\u003cp\u003eData submitted to Gemini is encrypted in transit, safeguarding the information.\u003c/p\u003e\n"],["\u003cp\u003eWhile Gemini can provide code suggestions and completions, users are responsible for testing, security, and effectiveness of any code derived from Gemini.\u003c/p\u003e\n"]]],[],null,["# How Gemini for Google Cloud uses your data\n\nThis document describes how Gemini for Google Cloud, which offers AI-powered assistance,\nconforms to\n[Google's privacy commitment](https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-unveils-ai-and-ml-privacy-commitment)\nwith generative AI technologies. When you use Gemini in the\nGoogle Cloud console or in a development environment, Google Cloud [handles\nyour prompts](#submit-receive-data) in accordance with our [terms of\nservice](https://cloud.google.com/terms) and [Cloud Data Processing Addendum](https://cloud.google.com/terms/data-processing-addendum).\n\nFor more information about Gemini for Google Cloud, see\n[Gemini for Google Cloud overview](/gemini/docs/overview).\n\nGoogle's privacy commitment\n---------------------------\n\nGoogle was one of the first in the industry to publish an [AI/ML privacy\ncommitment](https://cloud.google.com/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's stored in the cloud. That commitment\nextends to Google Cloud generative AI products. Google helps ensure that\nits teams are following these commitments through robust data governance\npractices, which include reviews of the data that Google Cloud uses in the\ndevelopment of its products. You can find more details about how Google\nprocesses data in\n[Customer Data Processing Addendum (CDPA)](https://cloud.google.com/terms/data-processing-addendum)\nor the data\nprocessing agreement applicable to your Google Cloud service.\n\nData you submit and receive\n---------------------------\n\nThe questions that you ask Gemini, including any input\ninformation or code that you submit to Gemini to analyze or\ncomplete, are called *prompts* . The answers or code completions that you receive\nfrom Gemini are called *responses*.\n\nGemini doesn't use your prompts or its responses as data to\ntrain its models. Some features are only available through the\n[Gemini for Google Cloud Trusted Tester Program](/gemini-for-cloud/ttp/welcome),\nwhich lets you optionally share data, but the data is used for product\nimprovements, not for training Gemini models.\n\n[Code customization](/gemini/docs/codeassist/code-customization-overview) lets\nyou get code suggestions based on your organization's private codebase directly\nfrom Gemini Code Assist. When you use code customization, we\nsecurely access and store your private code. This access and storage is\nessential for delivering the code customization service you've requested. To\nconfigure and use code customization, see\n[Configure and use Gemini Code Assist code customization](/gemini/docs/codeassist/code-customization).\n\n[Gemini Code Assist tools](/gemini/docs/codeassist/tools-agents/tools-overview)\nlet developers connect to external services without leaving the IDE in order to\nget tasks, summarize design documents and more. Gemini Code Assist\ntools don't share data between tools. When you send a prompt to one tool, other\ntools don't have access to that prompt or the response. Tools only have access\nto prompts sent directly to them using the `@TOOL_NAME` syntax.\n\nBecause Gemini is an evolving technology, it can generate output\nthat's plausible-sounding but factually incorrect. We recommend that you\nvalidate all output from Gemini before you use it. For more\ninformation, see\n[Gemini for Google Cloud and responsible AI](/gemini/docs/discover/responsible-ai).\n\nEncryption of prompts\n---------------------\n\nWhen you submit prompts to Gemini, your data is encrypted\nin-transit as input to the underlying model in Gemini. For more\ninformation on Gemini data encryption, see\n[Default encryption at rest](/docs/security/encryption/default-encryption)\nand\n[Encryption in transit](/docs/security/encryption-in-transit).\n\nProgram data generated from Gemini\n----------------------------------\n\nGemini is trained on first-party Google Cloud\ncode as well as selected third-party code. You're responsible for the\nsecurity, testing, and effectiveness of your code, including any code\ncompletion, generation, or analysis that Gemini offers you.\n\nGemini also provides source citations when suggestions directly\nquote at length from a source to help you comply with any license requirements.\n\nBecause responses in Gemini are generated from a model that's\ntrained on many lines of code, you should exercise the same care with\nGemini-provided code that you would with any other code. Make\nsure that you test the code properly and check for security vulnerabilities,\nincompatibilities, and other potential issues.\n\nWhat's next\n-----------\n\n- Learn about the [security, privacy, and compliance of\n Gemini Code Assist](/gemini/docs/codeassist/security-privacy-compliance)."]]
