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5. Data, Privacy, & Security

When you deploy and customize models in the Azure AI Foundry portal, the service processes data in different contexts. These include:

  1. Prompts - the initial user request, as well as metaprompts and RAG-enhanced context.
  2. Generated Content - the response generated by the model, potentially as chat history.
  3. Uploaded Data - loaded into a datastore for fine-tuning or other AI customization.
  4. Content Filters - analyze prompts and responses to detect and filter harmful content.

Some of the common questions on data security and privacy are:

  • Is the data stored, shared with providers, or reused for training?
  • Who is processing the data, and what are their data commitments?

To learn more, check out these two core resources:

  1. Data, privacy, and security for use of models through the model catalog
  2. Data, privacy, and security for Azure AI Content Safety

This completes the guest tour of the Azure AI Foundry Portal. To explore further capabilities, you will need to login with an Azure subscription (as explored in next section). Let's go!.