Specify sensitive data types Skip Navigation

Specify sensitive data types

Data types represent the sensitive data that
CylanceAVERT
will scan for. You can set data types in the information protection settings and customize them to fit your organization's needs. The search methods available for data types are keywords or regular expressions.
  1. In the management console, on the menu bar, click
    Settings > Information Protection
    .
  2. Click the
    Data Types
    tab.
  3. Click
    Add Custom Data Type
    .
    You can also add predefined data types to your list, which will allow the data type to be used in an information protection policy. To add a predefined data type to a list, click
    Add Predefined Data Type
    , select the predefined data types that you want to add to your list, and click
    Add
    .
  4. On the
    Add custom data type
    page, add a name and description for the new data type.
  5. In the
    Region
    drop-down list, select the region the data type will be used for. For example, if you are going to check for a Canadian drivers license number, select Canada as the region.
  6. In the
    Information type
    drop-down menu, select the type of information that matches your data type. Values are custom, financial, health, and personal data.
  7. In the
    Search method
    drop-down menu, select the search method that you want to use. Values are keywords, expression, or keyword dictionary. A keyword dictionary is a text file that specifies multiple keywords. To create a keyword dictionary, you must create a text file with each keyword written on a new line.
  8. Do any of the following:
    • If you selected
      Keywords
      as your search method, enter the keywords that you want to scan for in the
      Keywords
      field. You can use commas to separate multiple keywords.
      • Select
        Exact match
        if you want to consider the file as sensitive if the keywords are exact matches. If this is selected, keywords will not be matched if they are part of a larger text string. For example, if you specify "confidential" as a keyword, "confidentiality" will not produce a match.
      • Select
        Enforce case sensitivity
        if you want to consider the file as sensitive if the case of the keywords are exact matches. If this is selected, text case is enforced. For example, if you specify "confidential" as a keyword, "CONFIDENTIAL" will not produce a match.
    • If you selected
      Regular Expression (RegEx)
      as your search method, enter the regular expression that you want to scan for in the
      Regex
      field.
      If you are using a regex, note the following:
      • The regex must conform to the .NET expression language.
      • You can validate the regex using popular tools such as Regex101 or Regex Storm.
    • If you selected
      Keyword Dictionary
      , do the following:
      • Select
        Exact match
        if you want to consider the file as sensitive if the keywords are exact matches. If this is selected, keywords will not be matched if they are part of a larger text string. For example, if you specify "confidential" as a keyword in your keyword dictionary, "confidentiality" will not produce a match.
      • Select
        Enforce case sensitivity
        if you want to consider the file as sensitive if the case of the keywords are exact matches. If this is selected, text case is enforced. For example, if you specify "confidential" as a keyword in your keyword dictionary, "CONFIDENTIAL" will not produce a match.
      • Click
        Upload Keyword Dictionary
        and select your keyword dictionary. You can only upload one keyword dictionary file per data type.
      The following are limitations for a keyword dictionary:
      • The combined size of all keyword dictionaries on a tenant cannot exceed 1.5 MB.
      • A single keyword in the keyword dictionary cannot exceed 1024 characters.
      • The maximum number of keyword dictionary data entities on a tenant is 1000.
  9. Click
    Create
    .
  • A custom data type can be deleted. To delete a custom data type, click The Delete icon in the
    actions
    column. On the confirmation pop-up, click
    Delete
    .
    You will receive a
    Data type in use
    pop-up If the data type is used in a policy and you will not be able to delete it until it is removed.
  • A predefined data type can be removed from your list but not deleted. To remove a predefined data type from your list click The Remove predefined data type icon in the
    Actions
    column. On the confirmation pop-up, click
    Remove
    . You can re-add a predefined data type to your list by clicking
    Add Predefined Data Type
    and selecting the data type from the list.
    You will receive a
    Data type in use
    pop-up If the data type is used in a policy and you will not be able to delete it until it is removed.
  • An existing keyword dictionary file can be downloaded. If an updated keyword dictionary is uploaded, the endpoint will be rescanned and the policies will be evaluated. Currently, existing events will remain evaluated from the previous datatype.