Security Profile: Data Filtering
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Security Profile: Data Filtering

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Security Profile: Data Filtering

Prevent sensitive, confidential, and proprietary information from leaving your network.
Where Can I Use This?What Do I Need?
  • NGFW (Cloud Managed)
  • NGFW (PAN-OS & Panorama Managed)
  • Prisma Access (Cloud Managed)
  • Prisma Access (Panorama Managed)
Check for any license or role requirements for the products you're using.
Use Data Filtering profiles to prevent sensitive, confidential, and proprietary information—such as credit card or social security numbers or internal corporate documents—from leaving your network. Predefined patterns, built-in settings, and customizable options make it easy for you to protect files that contain certain file properties (such as a document title or author), credit card numbers, regulated information from different countries (like social security numbers), and third-party data loss prevention (DLP) labels.

Predefined Data Filtering Patterns

Predefined data filtering patterns serve as predefined sets of rules and signatures designed to identify and categorize various types of data based on patterns, content, or metadata. These patterns encompass a wide range of data, including personally identifiable information (PII), financial data, healthcare records, intellectual property, and more. By applying these patterns, your configuration can enforce specific security rules based on the identified data categories.
You can leverage data filtering patterns to meet your unique compliance requirements and organizational needs.
To comply with standards such as HIPAA, GDPR, and the Gramm-Leach-Bliley Act, predefined data patterns are available. You can use these patterns to prevent common types of sensitive information, like credit cards and social security numbers, from leaving your network.

Predefined Data Filtering Patterns (Strata Cloud Manager)

Use data filtering to prevent common types of sensitive information, like credit cards and social security numbers, from leaving your network.
You can find predefined data patterns by selecting ManageConfigurationNGFW and Prisma AccessData Loss PreventionDetection MethodsData Patterns.
The following is a list of available data patterns:
Pattern
Description
Credit Card Numbers16-digit credit card numbers
Social Security Numbers9-digit social security numbers with dashes
Social Security Numbers (without dash separator)9-digit social security numbers without dashes
ABA Routing NumberThe American Banking Association Routing Number
AHV Identification Number Swiss Alters und Hinterlassenenversicherungsnummer
Codice Fiscale Identification Number Italian Fiscal Tax Code Card Identification Number
CorporateNumber Identification Number Japanese National Tax Agency Corporate Number
CUSIP Identification Number Committee on Uniform Security Identification Procedures Identification Number
DEA Registration Number U.S. Drug Enforcement Administration Registration Number
DNI Identification Number Spanish Documento nacional de identidad Identification Number number
HK Identification Number Hong Kong Residents Identification Number
INSEE Identification Number French National Institute of Statistics and Economic Studies identification number
IRD Identification Number New Zealand Internal Revenue Department Identification Number
MyKad Identification Number Malaysia MyKad Identity Card Identification Number
MyNumber Identification NumberJapanese Social Security and Tax Number System Identification Number
NHI Identification Number New Zealand National Health Index Number
NIF Identification Number Spanish Tax Identification Number
NIN Identification Number Taiwan Identification Card Number
NRIC Identification NumberSingapore National Registration Identity Card Identification Number
Permanent Account Identification Number India Permanent Account Number of Indian nationals
PRC Identification Number People's Republic of China Resident Identification Number
PRN Identification NumberRepublic of South Korea Resident Registration Number
Republic of South Korea Resident Registration Republic of South Korea Resident Registration Number

Predefined Data Filtering Patterns (PAN-OS & Panorama)

Use data filtering to prevent common types of sensitive information, like credit cards and social security numbers, from leaving your network.
You can find predefined data patterns by selecting Objects > Custom Objects > Data Patterns and clicking Add a new object. Then, set the Pattern Type to Predefined Pattern and Add a new rule to the data pattern object. Select a data pattern from the list that appears under Name.
If the type of information you want to protect isn't covered in the list of predefined patterns, you can use regular expressions to create custom patterns.
The following is a list of available data patterns:
Pattern
Description
Credit Card Numbers16-digit credit card numbers
Social Security Numbers9-digit social security numbers with dashes
Social Security Numbers (without dash separator)9-digit social security numbers without dashes
ABA Routing NumberThe American Banking Association Routing Number
AHV Identification Number Swiss Alters und Hinterlassenenversicherungsnummer
Codice Fiscale Identification Number Italian Fiscal Tax Code Card Identification Number
CorporateNumber Identification Number Japanese National Tax Agency Corporate Number
CUSIP Identification Number Committee on Uniform Security Identification Procedures Identification Number
DEA Registration Number U.S. Drug Enforcement Administration Registration Number
DNI Identification Number Spanish Documento nacional de identidad Identification Number number
HK Identification Number Hong Kong Residents Identification Number
INSEE Identification Number French National Institute of Statistics and Economic Studies identification number
IRD Identification Number New Zealand Internal Revenue Department Identification Number
MyKad Identification Number Malaysia MyKad Identity Card Identification Number
MyNumber Identification NumberJapanese Social Security and Tax Number System Identification Number
NHI Identification Number New Zealand National Health Index Number
NIF Identification Number Spanish Tax Identification Number
NIN Identification Number Taiwan Identification Card Number
NRIC Identification NumberSingapore National Registration Identity Card Identification Number
Permanent Account Identification Number India Permanent Account Number of Indian nationals
PRC Identification Number People's Republic of China Resident Identification Number
PRN Identification NumberRepublic of South Korea Resident Registration Number
Republic of South Korea Resident Registration Republic of South Korea Resident Registration Number

Create a Data Filtering Profile

Use Data Filtering profiles to prevent sensitive, confidential, and proprietary information from leaving your network. Predefined patterns, built-in settings, and customizable options make it easy for you to protect files that contain certain file properties (such as a document title or author), credit card numbers, regulated information from different countries (like social security numbers), and third-party data loss prevention (DLP) labels.
  • Predefined Data Patterns—Easily filter common patterns, including credit card numbers. Predefined data filtering patterns also identify specific (regulated) information from different countries of the world, such as social security numbers (United States), INSEE Identification numbers (France), and New Zealand Internal Revenue Department Identification Numbers. Many of the predefined data filtering patterns enable compliance for standards such as HIPAA, GDPR, Gramm-Leach-Bliley Act.
  • Built-In Support for Azure Information Protection and Titus Data Classification—Predefined file properties allow you to filter content based on Azure Information Protection and Titus labels. Azure Information Protection labels are stored in metadata, so make sure that you know the GUID of the Azure Information Protect label that you want to filter.
  • Custom Data Patterns for Data Loss Prevention (DLP) Solutions—If you’re using a third-party, endpoint DLP solution that populates file properties to indicate sensitive content, you can create a custom data pattern to identify the file properties and values tagged by your DLP solution and then log or block the files that your Data Filtering profile detects based on that pattern.
To get started, you’ll first create a data pattern that specifies the information types and fields that you want your environment to filter. Then, you attach that pattern to a data filtering profile, which specifies how you want to enforce the content that gets filtered. Add the data filtering profile to a security rule to start filtering traffic matching the rule.
Refer to the Enterprise DLP Administrator's Guide if you're leveraging Enterprise data loss prevention (DLP).

Create a Data Filtering Profile (Strata Cloud Manager)

Create a Data Filtering profile that ensures confidential information stays in your network.
After you create a data pattern on Cloud Management, create a data profile to add multiple data patterns and specify match criteria and confidence levels. All predefined and custom data profiles are available across all device groups.
Follow these steps to create a data profile. See Create a Data Profile on Cloud Management for detailed steps.
  1. Select ManageConfigurationNGFW and Prisma AccessSecurity ServicesData Loss PreventionData Profiles and Add Data ProfileClassic Data Profile.
    You can also create a new data profile by copying an existing data profile. This allows you to quickly modify an existing data profile with additional match criteria while preserving the original data profile from which the new data profile was copied.
    Data profiles created by copying an existing data profile are appended with Copy - <name_of_original_data_profile>. This name can be edited as needed.
    Adding an EDM data set to a copied data profile is supported only if the original data profile had an EDM data set to begin with. Adding an EDM data set to a data profile that doesn’t already have an EDM data set isn’t supported.
  2. Configure the Primary Rule for the data profile.
    Data pattern match criteria for traffic that you want to allow must be added to the Primary Rule. Data pattern match criteria for traffic that you want to block can be added to either Primary Rule or Secondary Rule.
  3. Verify that the data profile you created.
    Select ManageConfigurationNGFW and Prisma AccessSecurity ServicesData Loss Prevention and search for the data profile you created.
  4. Modify a DLP Rule for Prisma Access on Cloud Management.
    A Data Filtering profile is only active when it’s included in a profile group that a Security policy rule references. Follow the steps to activate a Data Filtering profile (and any Security profile).

Create a Data Filtering Profile (PAN-OS & Panorama)

Create a Data Filtering profile that ensures confidential information stays in your network.
  1. Define a new data pattern object to detect the information you want to filter.
    1. Select ObjectsCustom ObjectsData Patterns and Add a new object.
    2. Provide a descriptive Name for the new object.
    3. (Optional) Select Shared if you want the data pattern to be available to:
      • Every virtual system (vsys) on a multi-vsys firewall—If cleared (disabled), the data pattern is available only to the Virtual System selected in the Objects tab.
      • Every device group on Panorama—If cleared (disabled), the data pattern is available only to the Device Group selected in the Objects tab.
    4. (Optional—Panorama only) Select Disable override to prevent administrators from overriding the settings of this data pattern object in device groups that inherit the object. This selection is cleared by default, which means administrators can override the settings for any device group that inherits the object.
    5. (Optional—Panorama only) Select Data Capture to automatically collect the data that is blocked by the filter.
      Specify a password for Manage Data Protection on the Settings page to view your captured data (DeviceSetupContent-IDManage Data Protection).
    6. Set the Pattern Type to one of the following:
      • Predefined Pattern—Filter for credit card, social security numbers, and personally identifiable information for several compliance standards including HIPAA, GDPR, Gramm-Leach-Bliley Act.
      • Regular Expression—Filter for custom data patterns.
      • File Properties—Filter based on file properties and the associated values.
    7. Add a new rule to the data pattern object.
    8. Specify the data pattern according to the Pattern Type you selected for this object:
      • Predefined—Select the Name and choose the predefined data pattern on which to filter.
      • Regular Expression—Specify a descriptive Name, select the File Type (or types) you want to scan, and then enter the specific Data Pattern you want the firewall to detect.
      • File Properties—Specify a descriptive Name, select the File Type and File Property you want to scan, and enter the specific Property Value that you want the firewall to detect.
        • To filter Titus classified documents: Select one of the non-AIP protected file types, and set the File Property to TITUS GUID. Enter the Titus label GUID as the Property Value.
        • For Azure Information Protection labeled documents: Select any File Type except Rich Text Format. For the file type you choose, set the File Property to Microsoft MIP Label, and enter the Azure Information Protect label GUID as the Property Value.
    9. Click OK to save the data pattern.
  2. Add the data pattern object to a data filtering profile.
    1. Select ObjectsSecurity ProfilesData Filtering and Add or modify a data filtering profile.
    2. Provide a descriptive Name for the new profile.
    3. Add a new profile rule and select the Data Pattern you created in Step .
    4. Specify Applications, File Types, and what Direction of traffic (upload or download) you want to filter based on the data pattern.
      The file type you select must be the same file type you defined for the data pattern earlier, or it must be a file type that includes the data pattern file type. For example, you could define both the data pattern object and the data filtering profile to scan all Microsoft Office documents. Or, you could define the data pattern object to match to only Microsoft PowerPoint Presentations while the data filtering profile scans all Microsoft Office documents.
      If a data pattern object is attached to a data filtering profile and the configured file types don't align between the two, the profile won't correctly filter documents matched to the data pattern object.
    5. Set the Alert Threshold to specify the number of times the data pattern must be detected in a file to trigger an alert.
    6. Set the Block Threshold to block files that contain at least this many instances of the data pattern.
    7. Set the Log Severity recorded for files that match this rule.
    8. Click OK to save the data filtering profile.
  3. Apply the data filtering settings to traffic.
    1. Select PoliciesSecurity and Add or modify a security security rule.
    2. Select Actions and set the Profile Type to Profiles.
    3. Attach the Data Filtering profile you created in Step 2 to the security security rule.
    4. Click OK.
  4. (Recommended) Prevent web browsers from resuming sessions that the firewall has terminated.
    This option ensures that when the firewall detects and then drops a sensitive file, a web browser can't resume the session in an attempt to retrieve the file.
    1. Select DeviceSetupContent-ID and edit Content-ID Settings.
    2. Clear the Allow HTTP partial response.
    3. Click OK.
  5. Monitor files that the firewall is filtering.
    Select MonitorData Filtering to view the files that the firewall has detected and blocked based on your data filtering settings.