Privacy e conservazione dei dati
Alteryx conserva la cronologia dei messaggi per un periodo di 90 giorni. Per ulteriori informazioni sulla sicurezza e sulla privacy dei dati in Alteryx, consulta le domande frequenti relative a Ask Alteryx o accedi alla pagina Alteryx Trust.
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.
In che modo Alteryx Copilot genera risposte con Google Gemini
Ask Alteryx utilizza i modelli Google Gemini ospitati sulla piattaforma Vertex AI di Google Cloud per generare risposte. Di conseguenza, i controlli di sicurezza, privacy e gestione dei dati di Copilot si basano su quelli offerti da Google Cloud.
In che modo Alteryx protegge i tuoi dati con i servizi Google Cloud
Alteryx configura i servizi Google Cloud in modo che i dati in transito e inattivi di Copilot siano crittografati utilizzando protocolli di crittografia standard del settore. Come riferimento ufficiale e dettagli aggiornati sulle pratiche di sicurezza e di protezione dei dati di Google Cloud, fai riferimento a:
Google Cloud Security: https://cloud.google.com/security
Governance dei dati e privacy di Vertex AI: https://cloud.google.com/vertex-ai/docs/general/data-governance
Panoramica della crittografia di Google Cloud: https://cloud.google.com/security/encryption
Ulteriori dettagli
Per impostazione predefinita, Ask Alteryx ha accesso solo ai metadati dei flussi di lavoro, al flusso di lavoro XML e ai metadati dei tuoi dataset. I metadati vengono inviati ad Ask Alteryx solo quando inserisci un nuovo prompt. Se attivi la funzionalità di consapevolezza dei dati, Ask Alteryx avrà accesso anche ai dati contenuti nel flusso di lavoro.
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 Consapevolezza dei dati.
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.