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Power Platform Community / Forums / Copilot Studio / Identifying PII/PCI da...
Copilot Studio
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Identifying PII/PCI data in Microsoft 365 Outlook Emails by leveraging Microsoft Purview.

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Posted on by 62
Hi Team,
 
We have a requirement of identifying PII/PCI data in Microsoft 365 Outlook emails.
 
Most of the email bodies will be having (i.e text, tables and images).
 
Just want to check is there any approach to identify PII/PCI data in Microsoft 365 Outlook emails.
 
These emails will be used as a knowledge source in Copilot Studio agent and will be exposed to open AI LLM.
 
Any suggestions will be appreciated.
 
Regards.
Avinash.
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  • Suggested answer
    11manish Profile Picture
    1,922 on at
    Yes, there are robust approaches to identify PII/PCI data in Microsoft 365 Outlook emails.
     
    The recommended method is to use Microsoft Purview for built-in sensitive information detection and DLP policies, combined with Azure AI services (Vision + Language) for handling images and advanced text analysis.
     
    The best practice is to detect and classify sensitive data, then redact or mask it before storing or exposing the content to Copilot Studio or any LLM. Copilot should only consume sanitized data, ensuring compliance and preventing sensitive data leakage.
  • Suggested answer
    Valantis Profile Picture
    4,803 on at
     
    There are two separate problems here: identifying PII/PCI in the emails, and preventing that data from being exposed through the agent. Let me address both.
     
    For identifying PII/PCI in Outlook emails, Microsoft Purview DLP is the right tool. It uses built-in Sensitive Information Types (SITs) that cover credit card numbers, SSNs, passport numbers, IBAN and many other PCI/PII patterns out of the box.
    You can also define custom SITs for your organization-specific patterns. Purview scans Exchange Online email bodies including tables. Images with embedded text are a known limitation  Purview does not OCR images inside email bodies, so PII in images won't be detected by DLP.
    For preventing that data from reaching the agent and the LLM, there are two confirmed mechanisms:
     
    1. Sensitivity labels: Apply labels to emails containing sensitive data. Microsoft docs confirm that when a sensitivity label restricts access, Copilot Studio agents built on that knowledge source will not use that content to generate responses. This is the cleanest enforcement layer.
    2. DLP policy scoped to Microsoft 365 Copilot: Create a DLP policy targeting the Copilot location with your SITs as the condition. When sensitive content is detected in a prompt or knowledge retrieval, Copilot blocks the response. This is now generally available.
     
    One important limitation for your specific scenario: Purview's DLP for Copilot currently applies most cleanly when the knowledge source is SharePoint. Emails as a knowledge source in Copilot Studio custom agents have more limited Purview enforcement coverage compared to SharePoint — this is worth validating in your specific tenant setup before going to production.
     
     

     

    Best regards,

    Valantis

     

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