Privacy, security, and responsible use of Copilot for Data Factory

In this article, learn how Copilot for Data Factory overview works, how it keeps your business data secure and adheres to privacy requirements, and how to use generative AI responsibly. For an overview of these topics for Copilot in Fabric, see Privacy, security, and responsible use for Copilot.

With Copilot for Data Factory in Microsoft Fabric and other generative AI features, Microsoft Fabric brings a new way to transform and analyze data, generate insights, and create visualizations and reports in Data Science and the other workloads.

For considerations and limitations, see Limitations of Copilot for Data Factory.

Data use of Copilot for Data Factory

• Copilot can only access data that is accessible to the user's current Gen2 dataflow session, and that is configured and imported into the data preview grid. Learn more about getting data in Power Query.

Evaluation of Copilot for Data Factory

• The product team has tested Copilot to see how well the system performs within the context of Gen2 dataflows, and whether AI responses are insightful and useful.
• The team also invested in other harms mitigations, including technological approaches to focusing Copilot's output on topics related to data integration.

Tips for working with Copilot for Data Factory

• Copilot is best equipped to handle data integration topics, so it's best to limit your questions to this area.
• If you include descriptions such as query names, column names, and values in the input, Copilot is more likely to generate useful outputs.
• Try breaking complex inputs into more granular tasks. This helps Copilot better understand your requirements and generate a more accurate output.

Related content

• Copilot for Data Factory overview
• Copilot in Fabric: FAQ