Privacidad y retención de datos
Alteryx conserva el historial de mensajes durante un período de 90 días. Para obtener más información sobre la seguridad y la privacidad de datos con Alteryx, revisa las preguntas frecuentes de Ask Alteryx o ve a la página Confianza de Alteryx.
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.
Cómo Alteryx Copilot genera respuestas con Google Gemini
Ask Alteryx usa modelos de Google Gemini alojados en la plataforma Vertex AI de Google Cloud para generar respuestas. En consecuencia, los controles de seguridad, privacidad y manejo de datos de Copilot se basan en los que ofrece Google Cloud.
Cómo Alteryx protege tus datos con los servicios de Google Cloud
Alteryx configura los servicios de Google Cloud para que los datos de Copilot se cifren en tránsito y en reposo mediante protocolos de cifrado estándar del sector. Para obtener información autorizada y actualizada sobre las prácticas de seguridad y protección de datos de Google Cloud, consulta:
Seguridad de Google Cloud: https://cloud.google.com/security
Privacidad y gobernanza de datos de Vertex AI: https://cloud.google.com/vertex-ai/docs/general/data-governance
Descripción general del cifrado de Google Cloud: https://cloud.google.com/security/encryption
Detalles adicionales
De manera predeterminada, Ask Alteryx solo tiene acceso a los metadatos del flujo de trabajo, al XML del flujo de trabajo y a los metadatos del conjunto de datos. Los metadatos solo se envían a Ask Alteryx cuando envías una nueva indicación. Si habilitas Conocimiento de datos, Ask Alteryx también tendrá acceso a los datos del flujo de trabajo.
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 Conocimiento de datos.
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.