Create a keyword dictionary

Microsoft Purview Data Loss Prevention (DLP) can identify, monitor, and protect your sensitive items. Identifying sensitive items sometimes requires looking for keywords, particularly when identifying generic content (such as healthcare-related communication), or inappropriate or explicit language. Although you can create keyword lists in sensitive information types, keyword lists are limited in size and require modifying XML to create or edit them. Keyword dictionaries provide simpler management of keywords and at a much larger scale, supporting up to 1 MB of terms (post compression) in the dictionary and support any language. The tenant limit is also 1 MB after compression. 1 MB of post compression limit means that all dictionaries combined across a tenant can have close to 1 million characters.


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Keyword dictionary limits

There is a limit of 50 keyword dictionary based sensitive information types that can be created per tenant. To find out how many keyword dictionaries you have in your tenant, connect using the procedures in Connect to the Security & Compliance PowerShell to connect to your tenant and run this PowerShell script.

$rawFile = $env:TEMP + "\rule.xml"

$kd = Get-DlpKeywordDictionary
$ruleCollections = Get-DlpSensitiveInformationTypeRulePackage
[System.IO.File]::WriteAllBytes((Resolve-Path $rawFile), $ruleCollections.SerializedClassificationRuleCollection)
$UnicodeEncoding = New-Object System.Text.UnicodeEncoding
$FileContent = [System.IO.File]::ReadAllText((Resolve-Path $rawFile), $unicodeEncoding)

if($kd.Count -gt 0)
$count = 0
$entities = $FileContent -split "Entity id"
for($j=1;$j -lt $entities.Count;$j++)
for($i=0;$i -lt $kd.Count;$i++)
$Matches = Select-String -InputObject $entities[$j] -Pattern $kd[$i].Identity -AllMatches
$count = $Matches.Matches.Count + $count
if($Matches.Matches.Count -gt 0) {break}

Write-Output "Total Keyword Dictionary SIT:"
$Matches = Select-String -InputObject $FileContent -Pattern $kd.Identity -AllMatches
Write-Output "Total Keyword Dictionary SIT:"

Remove-Item $rawFile

Basic steps to creating a keyword dictionary

The keywords for your dictionary could come from various sources, most commonly from a file (such as a .csv or .txt list) imported in the service or by PowerShell cmdlet, from a list you enter directly in the PowerShell cmdlet, or from an existing dictionary. When you create a keyword dictionary, you follow the same core steps:

  1. Use the *Microsoft Purview compliance portal or connect to Microsoft Purview compliance portal PowerShell.

  2. Define or load your keywords from your intended source. The wizard and the cmdlet both accept a comma-separated list of keywords to create a custom keyword dictionary, so this step will vary slightly depending on where your keywords come from. Once loaded, they're encoded and converted to a byte array before they're imported.

  3. Create your dictionary. Choose a name and description and create your dictionary.

Create a keyword dictionary using the Microsoft Purview compliance portal

Use the following steps to create and import keywords for a custom dictionary:

  1. Connect to the Microsoft Purview compliance portal.

  2. Navigate to Classifications > Sensitive info types.

  3. Select Create and enter a Name and Description for your sensitive info type, then select Next

  4. Select Add an element, then select Dictionary (Large keywords) in the Detect content containing drop-down list.

  5. Select Add a dictionary

  6. Under the Search control, select You can create new keyword dictionaries here.

  7. Enter a Name for your custom dictionary.

  8. Select Import, and select either From text or From csv depending on your keyword file type.

  9. In the file dialog, select the keyword file from your local PC or network file share, then select Open.

  10. Select Save, then select your custom dictionary from the Keyword dictionaries list.

  11. Select Add, then select Next.

  12. Review and finalize your sensitive info type selections, then select Finish.

Create a keyword dictionary from a file using PowerShell

Often when you need to create a large dictionary, it's to use keywords from a file or a list exported from some other source. In this case, you'll create a keyword dictionary containing a list of inappropriate language to screen in external email. You must first Connect to Security & Compliance PowerShell.

  1. Copy the keywords into a text file and make sure that each keyword is on a separate line.

  2. Save the text file with Unicode encoding. In Notepad > Save As > Encoding > Unicode.

  3. Read the file into a variable by running this cmdlet:

    $fileData = [System.IO.File]::ReadAllBytes('<filename>')
  4. Create the dictionary by running this cmdlet:

    New-DlpKeywordDictionary -Name <name> -Description <description> -FileData $fileData

Using keyword dictionaries in custom sensitive information types and DLP policies

Keyword dictionaries can be used as part of the match requirements for a custom sensitive information type, or as a sensitive information type themselves. Both require you to create a custom sensitive information type. Follow the instructions in the linked article to create a sensitive information type. Once you have the XML, you'll need the GUID identifier for the dictionary to use it.

<Entity id="9e5382d0-1b6a-42fd-820e-44e0d3b15b6e" patternsProximity="300" recommendedConfidence="75">
    <Pattern confidenceLevel="75">
        <IdMatch idRef=". . ."/>

To get the identity of your dictionary, run this command and copy the Identity property value:

Get-DlpKeywordDictionary -Name "Diseases"

The output of the command looks like this:

RunspaceId : 138e55e7-ea1e-4f7a-b824-79f2c4252255 Identity : 8d2d44b0-91f4-41f2-94e0-21c1c5b5fc9f Name : Diseases Description : Names of diseases and injuries from ICD-10-CM lexicon KeywordDictionary : aarskog's syndrome, abandonment, abasia, abderhalden-kaufmann-lignac, abdominalgia, abduction contracture, abetalipo proteinemia, abiotrophy, ablatio, ablation, ablepharia, abocclusion, abolition, aborter, abortion, abortus, aboulomania, abrami's disease, abramo IsValid : True ObjectState : Unchanged

Paste the identity into your custom sensitive information type's XML and upload it. Now your dictionary will appear in your list of sensitive information types and you can use it right in your policy, specifying how many keywords are required to match.

<Entity id="d333c6c2-5f4c-4131-9433-db3ef72a89e8" patternsProximity="300" recommendedConfidence="85">
      <Pattern confidenceLevel="85">
        <IdMatch idRef="8d2d44b0-91f4-41f2-94e0-21c1c5b5fc9f" />
      <Resource idRef="d333c6c2-5f4c-4131-9433-db3ef72a89e8">
        <Name default="true" langcode="en-us">Diseases</Name>
        <Description default="true" langcode="en-us">Detects various diseases</Description>


Microsoft 365 Information Protection supports double-byte character set languages for:

  • Chinese (simplified)
  • Chinese (traditional)
  • Korean
  • Japanese

This support is available for sensitive information types. See, Information protection support for double byte character sets release notes (preview) for more information.


To detect patterns containing Chinese/Japanese characters and single byte characters or to detect patterns containing Chinese/Japanese and English, define two variants of the keyword or regex.

  • For example, to detect a keyword like "机密的document", use two variants of the keyword; one with a space between the Japanese and English text and another without a space between the Japanese and English text. So, the keywords to be added in the SIT should be "机密的 document" and "机密的document". Similarly, to detect a phrase "東京オリンピック2020", two variants should be used; "東京オリンピック 2020" and "東京オリンピック2020".

Along with Chinese/Japanese/double byte characters, if the list of keywords/phrases also contain non Chinese/Japanese words also (like English only), it is recommended to create two dictionaries/keyword lists. One for keywords containing Chinese/Japanese/double byte characters and another one for English only.

  • For example, if you want to create a keyword dictionary/list with three phrases "Highly confidential", "機密性が高い" and "机密的document", the it you should create two keyword lists.
    1. Highly confidential
    2. 機密性が高い, 机密的document and 机密的 document

While creating a regex using a double byte hyphen or a double byte period, make sure to escape both the characters like one would escape a hyphen or period in a regex. Here is a sample regex for reference:

  • (?<!\d)([4][0-9]{3}[\-?\-\t]*[0-9]{4}

We recommend using a string match instead of a word match in a keyword list.