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  • Welcome to Syntho
  • Overview
    • Get started
      • Syntho bootcamp
        • 1. What is Syntho?
        • 2. Introduction data anonymization
        • 3. Connectors & workspace creation
        • 4. PII scan
        • 5. Generators
          • Mockers
          • Maskers
          • AI synthesize
          • Calculated columns
          • Free text de-identification
        • 6. Referential integrity & foreign keys
        • 7. Workspace synchronization & validation
        • 8. Workspace & user management
        • 9. Large workloads​
        • 10. Data pre-processing
        • 11. Continuous Success
      • Prerequisites
      • Sample datasets
      • Introduction to data generators
    • Frequently asked questions
  • Setup Workspaces
    • View workspaces
    • Create a workspace
      • Connect to a database
        • PostgreSQL
        • MySQL / MariaDB
        • Oracle
        • Microsoft SQL Server
        • DB2
        • Databricks
          • Importing Data into Databricks
        • Hive
        • SAP Sybase
        • Azure Data Lake Storage (ADLS)
        • Amazon Simple Storage Service (S3)
      • Workspace modes
    • Edit a workspace
    • Duplicate a workspace
    • Transfer workspace ownership
    • Share a workspace
    • Delete a workspace
    • Workspace default settings
  • Configure a Data Generation Job
    • Configure table settings
    • Configure column settings
      • AI synthesize
        • Sequence model
          • Prepare your sequence data
        • QA report
        • Additional privacy controls
        • Cross-table relationships limitations
      • Mockers
        • Text
          • Supported languages
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • Other
      • Mask
        • Text
        • Numeric (integer)
        • Numeric (decimal)
        • Datetime
        • UUID
      • Duplicate
      • Exclude
      • Consistent mapping
      • Calculated columns
      • Key generators
        • Differences between key generators
      • JSON de-identification
    • Manage personally identifiable information (PII)
      • Privacy dashboard
      • Discover and de-identify PII columns
        • Identify PII columns manually
        • Automatic PII discovery with PII scanner
      • Remove columns from PII list
      • Automatic PII discovery and de-identification in free text columns
      • Supported PII & PHI entities
    • Manage foreign keys
      • Foreign key inheritance
      • Add virtual foreign keys
        • Add virtual foreign keys
        • Use foreign key scanner
        • Import foreign keys via JSON
        • Export foreign keys via JSON
      • Delete foreign keys
    • Validate and Synchronize workspace
    • View and adjust generation settings
  • Deploy Syntho
    • Introduction
      • Syntho architecture
      • Requirements
        • Requirements for Docker deployments
        • Requirements for Kubernetes deployments
      • Access Docker images
        • Online
        • Offline
    • Deploy Syntho using Docker
      • Preparations
      • Deploy using Docker Compose
      • Run the application
      • Manually saving logs
      • Updating the application
    • Deploy Syntho using Kubernetes
      • Preparations
      • Deploy Ray using Helm
        • Upgrading Ray CRDs
        • Troubleshooting
      • Deploy Syntho using Helm
      • Validate the deployment
      • Troubleshooting
      • Saving logs
      • Upgrading the applications
    • Manage users and access
      • Single Sign-On (SSO) in Azure
      • Manage admin users
      • Manage non-admin users
    • Logs and monitoring
      • Does Syntho collect any data?
      • Temporary data storage by application
  • Syntho API
    • Syntho REST API
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  • Apply mask
  • Edit mask settings
  • Mask functions

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  1. Configure a Data Generation Job
  2. Configure column settings

Mask

PreviousOtherNextText

Last updated 15 days ago

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Masking can be especially useful in the following situations:

  1. To mask columns that contain directly identifiable information, such as Personally Identifiable Information (PII).

  2. To mask columns that contain indirectly identifiable information, such as Birthdate columns.

  3. When data needs to remain recognizable in format.

Apply mask

  1. Open your workspace.

  2. On the Job Configuration tab, select the column icon on the top left of the column where you want to apply a mask function.

  3. Under Column settings > Generation Method, select Mask to view the list of available mask functions.

  4. Select the Mask function that you wish to apply from the dropdown list of available mask functions.

  5. Set the relevant mask parameters.

  6. Select Confirm.

Edit mask settings

To edit any mask settings you have applied previously:

  1. Open your Workspace.

  2. Now you can either:

    1. On the Job Configuration tab, select the column icon on the top left of the column where you want to edit a mask function.

    2. On the Job Configuration tab, under Applied steps, select the Edit icon next to the column name where you want to edit a mask function.

    3. On the PII tab, select the Edit icon behind the column where you want to edit a mask function.

  3. Under the Generation Method, define the parameters that you want to change.

  4. Select Confirm.

Mask functions

Syntho offers various masking functions. Each function is designed to handle different types of sensitive data. You can explore them based on their categories, including , , , and .

Text
Numeric (integer)
Numeric (decimal)
Datetime
UUID
Selecting data type