数据隐私和保留
Alteryx 会保留 90 天内的消息历史记录。如需详细了解 Alteryx 的安全性和数据隐私，请查看 Ask Alteryx 的常见问题解答，或访问 Alteryx Trust 页面。
If you use Ask Alteryx in the Alteryx One desktop app on Windows, local workflows and their outputs can stay on your computer after you delete a chat. For more information, go to Manage Ask Alteryx Chats.
Alteryx Copilot 如何使用 Google Gemini 生成响应
Ask Alteryx 使用 Google Cloud 的 Vertex AI 平台上托管的 Google Gemini 模型来生成响应。因此，Copilot 的安全性、隐私保护及数据处理控制均基于 Google Cloud 提供的相关控制措施。
Alteryx 如何通过 Google Cloud 服务保护您的数据
Alteryx 配置 Google Cloud 服务，以便使用行业标准加密协议对 Copilot 数据（包括传输中数据和静态数据）进行加密。有关 Google Cloud 安全性与数据保护实践的权威且最新详情，请参阅：
Google Cloud 安全性：https://cloud.google.com/security
Vertex AI 数据治理与隐私：https://cloud.google.com/vertex-ai/docs/general/data-governance
Google Cloud 加密概览：https://cloud.google.com/security/encryption
其他详细信息
默认情况下，Ask Alteryx 仅可访问工作流元数据、工作流 XML 和您的数据集元数据。只有在您发送新提示时，元数据才会发送到 Ask Alteryx。如果您启用数据感知，Ask Alteryx 也将能够访问您工作流中的数据。
Information About Your Assets
By default, Ask Alteryx has access to descriptive information about the workflows, datasets, and connections in your workspace. Ask Alteryx uses this information to understand your workflow and to find existing assets that fit your request. It doesn't read the rows of data stored in your datasets. This information includes:
Workflow metadata and workflow XML, including tool configurations and the connections between tools.
Dataset metadata, such as dataset names, source names (for example, a table or file name), column names and data types, and dataset and column descriptions. Descriptions can be AI-generated.
Workflow names, descriptions, and AI-generated workflow summaries.
Summary information about dataset contents, such as column profiles. This helps Ask Alteryx rank datasets by how well they fit your request.
Connection metadata for supported connections, such as connection names and the data objects available through them.
Ask Alteryx only returns assets you have permission to access. Ask Alteryx sends this information to the model only when you send a new prompt.
Data in Your Workflows (Data Awareness)
If you turn on Data Awareness, Ask Alteryx can also sample data from your Designer and Live Query workflows. Ask Alteryx samples data only at the tool anchors it needs to answer your question.
Designer: Ask Alteryx reads the temporary Browse Everywhere snapshot, limited to 1 MB per anchor by default.
Live Query: Ask Alteryx runs supported tools against your connected cloud data warehouse and samples up to 500 rows.
To learn how to turn Data Awareness on or off, go to 数据感知.
Model Training and Prompt Engineering
Ask Alteryx doesn't train, retrain, or fine-tune AI models with your workflows or data. These points clarify how Ask Alteryx uses AI models:
What Ask Alteryx Does Not Do
Train or retrain foundation models (large language models).
Fine-tune models using your data.
Build new models from scratch.
What Ask Alteryx Does Do
Use pre-trained third-party models.
Improve responses through prompt design and system instructions.
Supply structured context with each request.
Retrieve relevant product or workflow information at runtime to ground responses.
Evaluate and refine prompts and orchestration logic to improve accuracy, safety, and usefulness.
Why This Matters
Model training and fine-tuning require large datasets and permanently change model behavior. Prompt engineering and retrieval don't modify the model. They shape individual requests and responses.
From a compliance perspective, this distinction is critical. Ask Alteryx behavior is driven by runtime instructions and context, not by retraining models on your data.