Create a Custom Data Profile
Table of Contents
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- What’s Data Security?
- Navigate To Data Security in Cloud Management Console
- Activate Data Security on the Hub
- Access Data Security for Standalone SaaS Security
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- Allowed List of IP Addresses
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- Begin Scanning an Amazon Web Services App
- Begin Scanning a Bitbucket Cloud App
- Begin Scanning a Box App
- Begin Scanning a Cisco Webex Teams App
- Begin Scanning a Citrix ShareFile App
- Begin Scanning a Confluence App
- Begin Scanning a Confluence Data Center App
- Begin Scanning a Dropbox App
- Begin Scanning a GitHub App
- Begin Scanning a GitHub V2 App
- Begin Scanning a Gmail App
- Begin Scanning a Google Cloud Storage App
- Begin Scanning a Google Drive App
- Begin Scanning a Jira Cloud App
- Begin Scanning a Jira Data Center App
- Begin Scanning a Microsoft Azure Storage App
- Begin Scanning a Microsoft Exchange App
- Begin Scanning Microsoft Office 365 Apps
- Begin Scanning a Microsoft Teams App
- Begin Scanning a Salesforce App
- Begin Scanning a ServiceNow App
- Begin Scanning a Slack for Enterprise Grid App
- Begin Scanning a Slack Enterprise App
- Begin Scanning a Slack for Pro and Business App
- Begin Scanning a Workday App (Beta)
- Begin Scanning a Yammer App
- Begin Scanning a Zendesk App
- Begin Scanning a Zoom App
- Reauthenticate to a Cloud App
- Verify Permissions on Cloud Apps
- Start Scanning a Cloud App
- Stop Scanning a Cloud App
- Rescan a Managed Cloud App
- Delete Cloud Apps Managed by Data Security
- API Throttling
- Configure Classification Labels
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- SaaS Security with Enterprise DLP
- Predefined Data Patterns on Data Security
- Proximity Keywords
- Confidence Levels
- Shared Data Profiles and Data Patterns
- Modify a Predefined Data Pattern
- Create a Custom Data Profile
- Add a File Property Data Pattern
- Create a Custom Data Pattern
- Use Exact Data Matching (EDM)
- Enable or Disable a Machine Learning Data Pattern
- Configure WildFire Analysis
- Configure Regular Expressions
- Enable or Disable a Data Pattern
- View and Filter Data Pattern Match Results
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- What is an Incident?
- Assess New Incidents on Data Security
- View Asset Details
- Filter Incidents
- Security Controls Incident Details
- Track Down Threats with WildFire Report
- Track Down Threats with AutoFocus
- Customize the Incident Categories
- Close Incidents
- Download Assets for Incidents
- View Asset Snippets for Incidents
- Analyze Inherited Exposure
- Email Asset Owners
- Modify Incident Status
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- What is a Data Violation?
- Assess New Data Violations on Data Security
- Configure Data Violation Alerts on Data Security
- Filter Data Violations on Data Security
- View Asset Snippets for Data Violations on Data Security
- View Data Violation Metrics on Data Security
- Modify Data Violation Status on Data Security
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- What’s SaaS Security Inline?
- Navigate To SaaS Security Inline
- SaaS Visibility for NGFW
- SaaS Visibility and Controls for NGFW
- SaaS Visibility for Prisma Access
- SaaS Visibility and Controls for Panorama Managed Prisma Access
- SaaS Visibility and Controls for Cloud Managed Prisma Access
- Activate SaaS Security Inline for NGFW
- Activate SaaS Security Inline for VM-Series Firewalls with Software NGFW Credits
- Activate SaaS Security Inline for Prisma Access
- Connect SaaS Security Inline and Cortex Data Lake
- Integrate with Azure Active Directory
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- SaaS Policy Rule Recommendations
- App-ID Cloud Engine
- Guidelines for SaaS Policy Rule Recommendations
- Predefined SaaS Policy Rule Recommendations
- Apply Predefined SaaS Policy Rule Recommendations
- Create SaaS Policy Rule Recommendations
- Delete SaaS Policy Rule Recommendations
- Enable SaaS Policy Rule Recommendations
- Modify Active SaaS Policy Rule Recommendations
- Monitor SaaS Policy Rule Recommendations
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- Enable Automatic Updates for SaaS Policy Rule Recommendations on Cloud Managed Prisma Access
- Import New SaaS Policy Rule Recommendations on Cloud Managed Prisma Access
- Update Imported SaaS Policy Rule Recommendations on Cloud Managed Prisma Access
- Remove Deleted SaaS Policy Rule Recommendations on Cloud Managed Prisma Access
- Manage Enforcement of Rule Recommendations on NGFW
- Manage Enforcement of Rule Recommendations on Panorama Managed Prisma Access
- Change Risk Score for Discovered SaaS Apps
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- Onboarding Overview for Supported SaaS Apps
- Onboard an Aha.io App to SSPM
- Onboard an Alteryx Designer Cloud App to SSPM
- Onboard an Aptible App to SSPM
- Onboard an ArcGIS App to SSPM
- Onboard an Articulate Global App to SSPM
- Onboard an Atlassian App to SSPM
- Onboard a BambooHR App to SSPM
- Onboard a Basecamp App to SSPM
- Onboard a Bitbucket App to SSPM
- Onboard a BlueJeans App to SSPM
- Onboard a Box App to SSPM
- Onboard a Bright Security App to SSPM
- Onboard a Celonis App to SSPM
- Onboard a Cisco Meraki App to SSPM
- Onboard a ClickUp App to SSPM
- Onboard a Confluence App to SSPM
- Onboard a Contentful App to SSPM
- Onboard a Convo App to SSPM
- Onboard a Couchbase App to SSPM
- Onboard a Coveo App to SSPM
- Onboard a Crowdin Enterprise App to SSPM
- Onboard a Customer.io App to SSPM
- Onboard a Databricks App to SSPM
- Onboard a Datadog App to SSPM
- Onboard a DocHub App to SSPM
- Onboard a DocuSign App to SSPM
- Onboard a Dropbox Business App to SSPM
- Onboard an Envoy App to SSPM
- Onboard an Expiration Reminder App to SSPM
- Onboard a Gainsight PX App to SSPM
- Onboard a GitHub Enterprise App to SSPM
- Onboard a GitLab App to SSPM
- Onboard a Google Analytics App to SSPM
- Onboard a Google Workspace App to SSPM
- Onboard a GoTo Meeting App to SSPM
- Onboard a Grammarly App to SSPM
- Onboard a Harness App to SSPM
- Onboard a Hellonext App to SSPM
- Onboard an IDrive App to SSPM
- Onboard an Intercom App to SSPM
- Onboard a Jira App to SSPM
- Onboard a Kanbanize App to SSPM
- Onboard a Kanban Tool App to SSPM
- Onboard a Kustomer App to SSPM
- Onboard a Lokalise App to SSPM
- Onboard a Microsoft Azure AD App to SSPM
- Onboard a Microsoft Exchange App to SSPM
- Onboard a Microsoft OneDrive App to SSPM
- Onboard a Microsoft Outlook App to SSPM
- Onboard a Microsoft Power BI App to SSPM
- Onboard a Microsoft SharePoint App to SSPM
- Onboard a Microsoft Teams App to SSPM
- Onboard a Miro App to SSPM
- Onboard a monday.com App to SSPM
- Onboard a MongoDB Atlas App to SSPM
- Onboard a MuleSoft App to SSPM
- Onboard a Mural App to SSPM
- Onboard an Office 365 App to SSPM
- Onboard Office 365 Productivity Apps to SSPM
- Onboard an Okta App to SSPM
- Onboard a PagerDuty App to SSPM
- Onboard a RingCentral App to SSPM
- Onboard a Salesforce App to SSPM
- Onboard an SAP Ariba App to SSPM
- Onboard a ServiceNow App to SSPM
- Onboard a Slack Enterprise App to SSPM
- Onboard a Snowflake App to SSPM
- Onboard a SparkPost App to SSPM
- Onboard a Tableau Cloud App to SSPM
- Onboard a Webex App to SSPM
- Onboard a Workday App to SSPM
- Onboard a Wrike App to SSPM
- Onboard a YouTrack App to SSPM
- Onboard a Zendesk App to SSPM
- Onboard a Zoom App to SSPM
- Onboarding an App Using Azure AD Credentials
- Onboarding an App Using Okta Credentials
- Delete SaaS Apps Managed by SSPM
Create a Custom Data Profile
Learn how to create a data profile.
See Create a Custom Data Pattern on Cloud
Management if you have purchased Enterprise DLP or opted in for a
trial.
After you clone data patterns or create custom data
patterns to represent the sensitive data your organization
wants to detect and protect, you can use those data patterns to
create a custom data profile. You can also use predefined data
patterns to do the same, and the SaaS Security team recommends
that you use predefined data patterns in your custom data profile
for the advantages outlined in Data Patterns. Because
predefined data profiles use predefined data patterns and pre-tested
logic, the SaaS Security team recommends that you use the predefined
data profiles, which you can modify. However, if the predefined
data profiles do not meet your needs, create a custom data profile.
A
data profile is a collection of data patterns joined together. To
narrow down and find sensitive content is like crafting a recipe—you
need to assemble the correct ingredients. Data patterns are the
ingredients and a data profile is the recipe. You can work with
the ingredients to create a recipe for content security.
Just as data patterns
are match criteria for policy rules, so too are data profiles. Data
profiles:
- Combine data patterns into a single query to filter at greater precision and efficiency than using individual data patterns.
- Exclude data patterns to fine-tune your search.
- Apply occurrence levels and confidence scoring to represent perceived risk.
- Uniformly enforce custom data profiles and data patterns across all connected applications using shared resources.
- Make policy changes easier: with one change to a data profile, you can apply a new data pattern to multiple policies simultaneously. As the availability of predefined data patterns and custom data patterns grows, data profiles as management tools make your job easier.
- Select.SettingsData DetectionData Profiles+Add NewCustom Data Profiles
- Name the data profile.Use a prefix naming convention that helps you distinguish between predefined data patterns.
- Select the data patterns, then use the expression builder to group them into a logical statement:
- Do one of the following:
- Basic—Provides basic Boolean operators, and you can only use one such operator in a single data profile:ANDto match on all conditions;ORto match on any condition. Drag and drop the data patterns to your workspace, select your operator, and specify your exclude or include logic.
- Advanced—IncludesNOToperators, in addition to basic operators, and bracket construct. Drag and drop the data patterns to your workspace to create a single threshold, then insert operators between the data patterns to construct your logic. WhereasData Securitycan handle both alerts and blocks in a single threshold,Prisma Accessrequires two thresholds—threshold 1 for alert mode and threshold 2 for block mode. Although, you can view within SaaS Security anyPrisma Accessdata patterns that comprise two thresholds,Data Securityonly evaluates threshold 2 forData Security.A data profile can include up to 50 data patterns.
- Data Securityprovides a large number of predefined data patterns to include in a given data profile; therefore, your data set grows quickly. For optimal results:
- Use theANYoperator sparingly.
- Use the default,High Confidencelevel.
The following example is a data profile with one threshold whereby the service displays a match if all three patterns in the first clause are present. The service doesn’t display a data pattern match if either of last two patterns aren’t present. - Pin the new data profile to yourDashboard.
- ClickSave.If you’re unable to save your new data profile and your logic uses a bracket construct, verify that you have both beginning and closing brackets. Otherwise, after you save, the service automatically enables your new data profile and immediately scans against existing data pattern matches. Optionally, you can rescan.
- Add a new asset rule to use the new data profile as match criteria.Alternatively, you can modify an existing policy rule.
- AsData Securitystarts monitoring files and matching them against enabled policy rules, on theDashboardto verify that your policy rules are effective. Monitoring the progress during the discovery phase enables you to modify your data profile and match criteria to ensure better results.If you’re happy with the results, you’re done!