DLP App
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Enterprise DLP

DLP App

Table of Contents


DLP App

Create an
Enterprise Data Loss Prevention (E-DLP)
file property data pattern on the DLP app on the hub.
  1. Log in to the DLP app on the hub.
    If you don’t already have access to the DLP app on the hub, see the hub Getting Started Guide. Only Superusers can access the hub.
  2. Select
    Detection Methods
    Data Patterns
    and
    Add Data Patterns
    .
    You can also create a new custom data pattern by copying an existing custom data pattern. To copy a custom data pattern, expand the Actions column for the data pattern you want to copy and
    Clone
    the data pattern. You can then configure the custom data pattern you copied as needed.
  3. Select the
    File Property
    data pattern.
  4. Enter a descriptive
    Name
    for the file property data pattern.
  5. (
    Optional
    ) Enter a
    Description
    for the data pattern.
  6. Select the
    File Property Type
    and enter the corresponding
    Value
    .
    Enterprise DLP
    supports file property data patterns in MS Office and PDF documents and supports both the OLE (.doc/.ppt) and XML (.docx/.pptx) formats of MS Office.
    (
    Extended Properties and Custom only
    ) You must enter the file property
    Name
    to identify which extended or custom property
    Enterprise DLP
    needs to inspect for.
    • AIP Tags
      Microsoft Azure Information Protection (AIP) labels used to classify and protect documents and emails. AIP tags are case insensitive and only whole word matches are supported. Regex expressions and wildcards are not supported.
      Review the examples of the supported AIP tag format when configuring a file property data pattern to prevent exfiltration of documents with AIP tags:
      • MSIP_Label_305f50f5-e953-4c63-867b-388561f41989_Enabled=true
      • MSIP_Label_305f50f5-e953-4c63-867b-388561f41989_SetDate=2024-01-25T07:05:49Z
      • MSIP_Label_305f50f5-e953-4c63-867b-388561f41989_Method=Privileged
      • MSIP_Label_305f50f5-e953-4c63-867b-388561f41989_Name=305f50f5-e953-4c63-867b-388561f41989
      • MSIP_Label_305f50f5-e953-4c63-867b-388561f41989_SiteId=fb8ed654-3195-4846-ac37-491dc8a2349e
      • MSIP_Label_305f50f5-e953-4c63-867b-388561f41989_ActionId=218bb304-e1fc-46f2-9210-7fb21702c52a
      • MSIP_Label_305f50f5-e953-4c63-867b-388561f41989_ContentBits=2
      Only one AIP Tag entry is supported per data pattern. However, you can add up to 10 AIP tag values to an AIP Tag entry using
      ;
      as a separator. For example,
      MSIP_Label_305f50f5-e953-4c63-867b-388561f41989_Enabled:true; MSIP_Label_305f50f5-e953-4c63-867b-388561f41989_SetDate:2024-01-25T07:05:49Z; SIP_Label_305f50f5-e953-4c63-867b-388561f41989_Method:Privileged
      .
    • Asset Name
      Asset names are the file name of files you want to prevent exfiltration. Asset names are case insensitive.
      Only one Asset Name entry is supported per data pattern. However, you can add up to 100 Asset Name values to an Asset Name entry using
      ;
      as a separator. Asset Names entries support plaintext and fully formed regex expressions for the Asset Name value. Asset Name is designed to inspect for a full word match. If a partial match is required, then the inclusion of a wild card character in the regular expression is required.
      • For plaintext Asset Name values, the asset name must include the file extension. For example,
        billing-info.csv
        or
        customer-data.docx
        .
      • For regex, the following expression matches all variations of file types when the specific keywords are present due to the inclusion of a wild card at the end of the expression to specify the file type. For example,
        password.csv
        and
        ccn.docx
        match this regex expression:
        (?i)(\(ssn|password|pwd|security|credit|CCN|finance).*
      • Alternatively, the following regex expression matches variations in the file name and all variations of file types due to the inclusion of a wildcard added before the expression specifying the file name and a wild card at the end of the expression. For example,
        100ssn.txt
        ,
        200ssn.docx
        , and
        300ssn.csv
        match this regex expression:
        (?i)(\.*(ssn|password|pwd|security|credit|CCN|finance).*
      Only one Asset Name entry is supported per data pattern. However, you can add up to 100 asset name values to an Asset Name entry using
      ;
      as a separator:
      billing-info.csv;customer-data.docx;(?i)(\.*(ssn|password|pwd|security|credit|CCN|finance).*
      .
    • Author
      First and last name of the file owner contained in the asset metadata. Author tags are case and space insensitive and only whole word matches are supported. No regex expressions or wildcards are supported.
      Only one Author entry is supported per data pattern. However, you can add up to 100 Author values to an Author entry using
      ;
      as a separator. For example,
      Bill Smith; john doe; leslieBarnes
      .
      The Author file property type is not supported for source code files.
    • File Extension
      Specify one or more file types supported by
      Enterprise DLP
      . File Extension tags are case and space insensitive and only whole word matches are supported. Regex expressions and wildcards are not supported. To scan files based on a specific file extension, the file extension must be included in the file name.
      Only one File Extension entry is supported per data pattern. However, you can add up to 10 File Extension values to a File Extension entry using
      ;
      as a separator. For example,
      .pdf;.csv;.rtf
      .
    • File SHA
      String of letters and numbers that represent a long checksum. Only SHA-256 are supported. File Extension tags are case and space insensitive and only whole word matches are supported. Regex expressions and wildcards are not supported.
      Only one File SHA entry is supported per data pattern. However, you can add up to 1,000 File SHA values to an File SHA entry using
      ;
      as a separator. For example,
      CA4D03E8F8A495AA671930184A04275E050D096B9E7E3CF693E0AB12898F3A46;5C4753EAE1F27F0D7EDB5F3245155F668BF5B86A8B3BB2D86F32C65692837F79
      .
    • Extended Properties
      Unique
      Advanced
      properties added to Microsoft Suite (Word, Excel, PPT, PDF) file properties that are not the default
      General
      properties.
      Only one Extended Properties entry is supported per data pattern. However, you can add up to 100 Extended Property values to an Extended Properties entry using
      ;
      as a separator.
    • Custom
      Unique
      Custom
      properties added to Microsoft Suite (Word, Excel, PPT, PDF) file properties that are not the default
      General
      properties.
      Only one Custom entry is supported per data pattern. However, you can add up to 100 Custom values to a Custom entry using
      ;
      as a separator.
  7. Save
    the data pattern.
  8. Create a data profile on the DLP app.


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