Datenschutz und -aufbewahrung
Alteryx speichert den Nachrichtenverlauf für einen Zeitraum von 90 Tagen. Weitere Informationen zu Sicherheit und Datenschutz mit Alteryx finden Sie in den häufig gestellten Fragen für Ask Alteryx oder rufen Sie die Seite Alteryx Trust auf.
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.
So generiert Alteryx Copilot Antworten mit Google Gemini
Ask Alteryx verwendet Google Gemini-Modelle, die auf der Vertex AI-Plattform von Google Cloud gehostet werden, um zu generieren. Dementsprechend basieren die Sicherheits-, Datenschutz- und Datenverarbeitungskontrollen von CoPilot auf den von Google Cloud angebotenen Kontrollen.
So schützt Alteryx Ihre Daten mit Google Cloud Services
Alteryx konfiguriert die Google Cloud Services so, dass die Copilot-Daten bei der Übertragung und im Ruhezustand mithilfe von branchenstandardmäßigen Verschlüsselungsprotokollen verschlüsselt werden. Verbindliche und aktuelle Informationen zu den Sicherheits- und Datenschutzpraktiken von Google Cloud finden Sie unter:
Google Cloud Security: https://cloud.google.com/security
Vertex AI Data Governance & Datenschutz: https://cloud.google.com/vertex-ai/docs/general/data-governance
Übersicht über die Verschlüsselung in Google Cloud: https://cloud.google.com/security/encryption
Weitere Details
Standardmäßig hat Ask Alteryx nur Zugriff auf Workflow-Metadaten, Workflow-XML und Ihre Dataset-Metadaten. Beachten Sie, dass Metadaten nur an Ask Alteryx gesendet werden, wenn Sie eine neue Eingabeaufforderung senden. Wenn Sie Data Awareness aktivieren, hat Ask Alteryx auch Zugriff auf die Daten in Ihrem Workflow.
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 Data Awareness.
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.