Google は、AI/ML のプライバシーに関する取り組みを業界で最初に発表した企業の 1 つです。この取り組みは、お客様はクラウドに保存されている自社のデータについて最高レベルのセキュリティとコントロールを得られるべきだという、Google の信念を概説したものです。その取り組みは、 Google Cloud の生成 AI プロダクトにも及びます。Google は、 Google Cloud がプロダクト開発で使用するデータのレビューなど、堅牢なデータ ガバナンスの手法を通じて、チームが取り組みを遵守できるように支援しています。Google がデータを処理する方法について詳しくは、顧客データ処理に関する追加条項(CDPA)またはお客様の Google Cloud サービスに適用されるデータ処理契約をご覧ください。
Gemini は進化中のテクノロジーであるため、もっともらしい内容であるかのように聞こえるものの、事実とは異なる出力が生成される可能性があります。Gemini からの出力は、使用する前に検証することをおすすめします。詳細については、Gemini for Google Cloud と責任ある AI をご覧ください。
[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["わかりにくい","hardToUnderstand","thumb-down"],["情報またはサンプルコードが不正確","incorrectInformationOrSampleCode","thumb-down"],["必要な情報 / サンプルがない","missingTheInformationSamplesINeed","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-09-08 UTC。"],[[["\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)."]]