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2024.2
  • Immuta Documentation - 2024.2
  • What is Immuta?
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        • Snowflake Integration
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      • Getting Started
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        • Configure a Databricks Unity Catalog Integration
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      • Databricks Unity Catalog Integration Reference Guide
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            • Python & SQL
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        • Databricks Change Data Feed
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    • Starburst (Trino)
      • Getting Started
      • How-to Guides
        • Configure Starburst (Trino) Integration
        • Customize Read and Write Access Policies for Starburst (Trino)
      • Starburst (Trino) Integration Reference Guide
    • Redshift
      • Getting Started
      • How-to Guides
        • Configure Redshift Integration
        • Configure Redshift Spectrum
      • Reference Guides
        • Redshift Integration
        • Redshift Pre-Configuration Details
    • Azure Synapse Analytics
      • Getting Started
      • Configure Azure Synapse Analytics Integration
      • Reference Guides
        • Azure Synapse Analytics Integration
        • Azure Synapse Analytics Pre-Configuration Details
    • Amazon S3
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      • Securing Hive and Impala Without Sentry
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    • Registering Metadata
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      • Register Data Sources
        • Create a Data Source
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      • Data Source Settings
        • How-to Guides
          • Manage Data Sources and Data Source Settings
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        • Data Source Health Checks Reference Guide
      • Schema Monitoring
        • How-to Guides
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        • Reference Guides
          • Schema Monitoring
          • Schema Projects
        • Why Use Schema Monitoring?
    • Catalogs
      • Getting Started with External Catalogs
      • Configure an External Catalog
      • Reference Guides
        • External Catalogs
        • Custom REST Catalogs
          • Custom REST Catalog Interface Endpoints
    • Tags
      • How-to Guides
        • Create and Manage Tags
        • Add Tags to Data Sources and Projects
      • Tags Reference Guide
  • People
    • Getting Started
    • Identity Managers (IAMs)
      • How-to Guides
        • Microsoft Entra ID
        • Okta LDAP Interface
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        • Integrate Okta SAML SCIM with Immuta
        • OneLogin with OpenID
        • Configure SAML IAM Protocol
      • Reference Guides
        • Identity Managers
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    • Immuta Users
      • How-to Guides
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      • Reference Guides
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  • Discover Your Data
    • Getting Started
    • Introduction
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    • Data Discovery
      • How-to Guides
        • Enable Sensitive Data Discovery (SDD)
        • Manage Identification Frameworks
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      • Reference Guides
        • How Competitive Pattern Analysis Works
        • Built-in Pattern Reference
        • Built-in Discovered Tags Reference
    • Data Classification
      • How-to Guides
        • Activate Classification Frameworks
        • Adjust Identification and Classification Framework Tags
        • How to Use a Built-In Classification Framework with Your Own Tags
      • Built-in Classification Frameworks Reference Guide
  • Detect Your Activity
    • Getting Started
      • Monitor and Secure Sensitive Data Platform Query Activity
        • User Identity Best Practices
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        • Register Data Sources
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        • Detect with Discover: Onboarding Guide
        • Using Immuta Detect
      • General Immuta Configuration
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        • Register Data Sources
    • Introduction
    • Audit
      • How-to Guides
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        • Run Governance Reports
      • Reference Guides
        • Universal Audit Model (UAM)
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      • Deprecated Audit Guides
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    • Detection
      • Use the Detect Dashboards
      • Reference Guides
        • Detect
        • Detect Dashboards
        • Unknown Users in Audit Logs
    • Monitors
      • Manage Monitors and Observations
      • Detect Monitors Reference Guide
  • Secure Your Data
    • Getting Started with Secure
      • Automate Data Access Control Decisions
        • The Two Paths: Orchestrated RBAC and ABAC
        • Managing User Metadata
        • Managing Data Metadata
        • Author Policy
        • Test and Deploy Policy
      • Compliantly Open More Sensitive Data for ML and Analytics
        • Managing User Metadata
        • Managing Data Metadata
        • Author Policy
      • Federated Governance for Data Mesh and Self-Serve Data Access
        • Defining Domains
        • Managing Data Products
        • Managing Data Metadata
        • Apply Federated Governance
        • Discover and Subscribe to Data Products
    • Introduction
      • Scalability and Evolvability
      • Understandability
      • Distributed Stewardship
      • Consistency
      • Availability of Data
    • Authoring Policies in Secure
      • Authoring Policies at Scale
      • Data Engineering with Limited Policy Downtime
      • Subscription Policies
        • How-to Guides
          • Author a Subscription Policy
          • Author an ABAC Subscription Policy
          • Subscription Policies Advanced DSL Guide
          • Author a Restricted Subscription Policy
          • Clone, Activate, or Stage a Global Policy
        • Reference Guides
          • Subscription Policies
          • Subscription Policy Access Types
          • Advanced Use of Special Functions
      • Data Policies
        • Overview
        • How-to Guides
          • Author a Masking Data Policy
          • Author a Minimization Policy
          • Author a Purpose-Based Restriction Policy
          • Author a Restricted Data Policy
          • Author a Row-Level Policy
          • Author a Time-Based Restriction Policy
          • Certifications Exemptions and Diffs
          • External Masking Interface
        • Reference Guides
          • Data Policy Types
          • Masking Policies
          • Row-Level Policies
          • Custom WHERE Clause Functions
          • Data Policy Conflicts and Fallback
          • Custom Data Policy Certifications
          • Orchestrated Masking Policies
    • Domains
      • Getting Started with Domains
      • Domains Reference Guide
    • Projects and Purpose-Based Access Control
      • Projects and Purpose Controls
        • Getting Started
        • How-to Guides
          • Create a Project
          • Create and Manage Purposes
          • Adjust a Policy
          • Project Management
            • Manage Projects and Project Settings
            • Manage Project Data Sources
            • Manage Project Members
        • Reference Guides
          • Projects and Purposes
          • Policy Adjustments
        • Why Use Purposes?
      • Equalized Access
        • Manage Project Equalization
        • Project Equalization Reference Guide
        • Why Use Project Equalization?
      • Masked Joins
        • Enable Masked Joins
        • Why Use Masked Joins?
      • Writing to Projects
        • How-to Guides
          • Create and Manage Snowflake Project Workspaces
          • Create and Manage Databricks Project Workspaces
          • Write Data to the Workspace
        • Reference Guides
          • Project Workspaces
          • Project UDFs (Databricks)
    • Data Consumers
      • Subscribe to a Data Source
      • Query Data
        • Querying Snowflake Data
        • Querying Databricks Data
        • Querying Databricks SQL Data
        • Querying Starburst (Trino) Data
        • Querying Redshift Data
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      • Subscribe to Projects
  • Application Settings
    • How-to Guides
      • App Settings
      • BI Tools
        • BI Tool Configuration Recommendations
        • Power BI Configuration Example
        • Tableau Configuration Example
      • Add a License Key
      • Add ODBC Drivers
      • Manage Encryption Keys
      • System Status Bundle
    • Reference Guides
      • Data Processing, Encryption, and Masking Practices
      • Metadata Ingestion
  • Releases
    • Immuta v2024.2 Release Notes
    • Immuta Release Lifecycle
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    • Immuta Support Matrix Overview
    • Immuta CLI Release Notes
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    • Preview Features
      • Features in Preview
    • Deprecations
  • Developer Guides
    • The Immuta CLI
      • Install and Configure the Immuta CLI
      • Manage Your Immuta Tenant
      • Manage Data Sources
      • Manage Sensitive Data Discovery
        • Manage Sensitive Data Discovery Rules
        • Manage Identification Frameworks
        • Run Sensitive Data Discovery on Data Sources
      • Manage Policies
      • Manage Projects
      • Manage Purposes
    • The Immuta API
      • Integrations API
        • Getting Started
        • How-to Guides
          • Configure an Amazon S3 Integration
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          • Configure a Databricks Unity Catalog Integration
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        • Reference Guides
          • Integrations API Endpoints
          • Integration Configuration Payload
          • Response Schema
          • HTTP Status Codes and Error Messages
      • Immuta V2 API
        • Data Source Payload Attribute Details
        • Data Source Request Payload Examples
        • Create Policies API Examples
        • Create Projects API Examples
        • Create Purposes API Examples
      • Immuta V1 API
        • Authenticate with the API
        • Configure Your Instance of Immuta
          • Get Fingerprint Status
          • Get Job Status
          • Manage Frameworks
          • Manage IAMs
          • Manage Licenses
          • Manage Notifications
          • Manage Sensitive Data Discovery (SDD)
          • Manage Tags
          • Manage Webhooks
          • Search Filters
        • Connect Your Data
          • Create and Manage an Amazon S3 Data Source
          • Create an Azure Synapse Analytics Data Source
          • Create an Azure Blob Storage Data Source
          • Create a Databricks Data Source
          • Create a Presto Data Source
          • Create a Redshift Data Source
          • Create a Snowflake Data Source
          • Create a Starburst (Trino) Data Source
          • Manage the Data Dictionary
        • Manage Data Access
          • Manage Access Requests
          • Manage Data and Subscription Policies
          • Manage Domains
          • Manage Write Policies
            • Write Policies Payloads and Response Schema Reference Guide
          • Policy Handler Objects
          • Search Audit Logs
          • Search Connection Strings
          • Search for Organizations
          • Search Schemas
        • Subscribe to and Manage Data Sources
        • Manage Projects and Purposes
          • Manage Projects
          • Manage Purposes
        • Generate Governance Reports
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  • 2024.3

Copyright © 2014-2024 Immuta Inc. All rights reserved.

On this page
  • Subscription Policies
  • Anyone Can Subscribe
  • Anyone Can Subscribe When Approved
  • Users with Specific Groups or Attributes
  • Users with Specific Groups or Attributes (Advanced)
  • Individual Users You Select
  • Data Policies
  • Data Owner Restrictions
  • Masking Policies
  • Minimize Data Created Between
  • Purpose Restrictions
  • Any Purpose
  • Purpose in Server
  • Row-level Policy
  • Multiple Policies

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  1. Developer Guides
  2. The Immuta API
  3. Immuta V2 API

Create Policies API Examples

Subscription Policies

Anyone Can Subscribe

name: Anyone
policyKey: subscription anyone
type: subscription
actions:
  type: anyone
  automaticSubscription: false
  description: Rationale
circumstances:
- type: tags
  tag: Discovered

Anyone Can Subscribe When Approved

name: Approval
policyKey: subscription approval
type: subscription
actions:
  type: approval
  approvals:
  - specificApproverRequired: false
    requiredPermission: OWNER
  - specificApproverRequired: true
    requiredPermission: GOVERNANCE
  description: Rationale
circumstances:
- type: columnTags
  columnTag: Discovered

Users with Specific Groups or Attributes

name: Entitlement
policyKey: subscription entitlements
type: subscription
actions:
  type: entitlements
  entitlements:
    operator: any
    groups:
    - Employee
    attributes:
    - name: auth1
      value: SOMETHING_ELSE
  automaticSubscription: true
  allowDiscovery: false
  description: Some description here
circumstances:
- type: columnRegex
  regex: ssn
  caseInsensitive: false
staged: false

Users with Specific Groups or Attributes (Advanced)

name: Advanced Entitlement
policyKey: subscription entitlements advanced boolean
type: subscription
actions:
  type: entitlements
  advanced: "@isInGroups('Engineers', 'Founders'') AND @hasAttribute('Auth1', 'Super Secret')"
  automaticSubscription: true
  allowDiscovery: false
  description: Some description here
circumstances:
- type: columnRegex
  regex: ssn
  caseInsensitive: false
staged: false

Individual Users You Select

name: Manual
policyKey: subscription manual
type: subscription
actions:
  type: manual
  description: Rationale

Data Policies

Data Owner Restrictions

name: Owner Restricted Policy
policyKey: data owner restriction
type: data
ownerRestrictions:
  users:
  - iamid: bim
    username: user@example.com
  groups:
  - engineers
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: columnTags
        columnTag: Discovered.PII
      maskingConfig:
        type: Hash
circumstances:
- type: columnTags
  columnTag: Discovered.PII

Masking Policies

Conditional Masking

name: Conditional Masking
policyKey: data conditional masking
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: columnTags
        columnTag: Discovered.PII
      conditionalPredicate: "@columnTagged('Discovered.Country') = 'USA'"
      maskingConfig:
        type: Hash
circumstanceOperator: all
circumstances:
- type: columnTags
  columnTag: Discovered.PII
- type: columnTags
  columnTag: Discovered.Country

Conditional Masking (Using Otherwise Clause)

name: Conditional
policyKey: data mask otherwise
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: columnTags
        columnTag: Discovered.Country
      maskingConfig:
        type: "Null"
    inclusions:
      groups:
      - Employee
  - type: Masking
    exceptions:
      purposes:
      - Re-identification Prohibited
    config:
      fields:
      - type: columnTags
        columnTag: Discovered.Country
      maskingConfig:
        type: Hash
circumstances:
- type: columnTags
  columnTag: Discovered.Country

With a Constant

name: Mask with Constant
policyKey: data mask constant
type: data
actions:
- rules:
  - type: Masking
    exceptions:
      operator: any
      attributes:
      - name: auth
        value: SOMETHING_ELSE
      - name: auth1
        value: super secret
    config:
      fields:
      - type: columnTags
        columnTag: Discovered.Country
      - type: columnTags
        columnTag: Discovered.PII
      maskingConfig:
        type: Constant
        constant: REDACTED
circumstanceOperator: any
circumstances:
- type: columnTags
  columnTag: Discovered.Country
- type: columnTags
  columnTag: Discovered.PII

Format Preserving Masking

name: Format Preserving Masking
policyKey: data mask fpe
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: columnTags
        columnTag: Discovered
      maskingConfig:
        type: Format Preserving Masking
circumstances:
- type: columnTags
  columnTag: Discovered

With Hashing (No Tags)

name: Hashing
policyKey: data mask hashing
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: noTags
      maskingConfig:
        type: Hash
circumstances:
  - type: noTags

K-Anonymization (Using Fingerprint)

Sample data is processed during computation of k-anonymization policies

When a k-anonymization policy is applied to a data source, the columns targeted by the policy are queried under a fingerprinting process that generates rules enforcing k-anonymity. The results of this query, which may contain data that is subject to regulatory constraints such as GDPR or HIPAA, are stored in Immuta's metadata database.

The location of the metadata database depends on your deployment:

  • Self-managed Immuta deployment: The metadata database is located in the server where you have your external metadata database deployed.

  • SaaS Immuta deployment: The metadata database is located in the AWS global segment you have chosen to deploy Immuta.

name: K-Anonymization Using Fingerprint on any tags
policyKey: masking kanon using fingerprint
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: anyTag
      maskingConfig:
        type: K-Anonymization
circumstances:
- type: anyTag

K-Anonymization (by Specifying K)

Sample data is processed during computation of k-anonymization policies

When a k-anonymization policy is applied to a data source, the columns targeted by the policy are queried under a fingerprinting process that generates rules enforcing k-anonymity. The results of this query, which may contain data that is subject to regulatory constraints such as GDPR or HIPAA, are stored in Immuta's metadata database.

The location of the metadata database depends on your deployment:

  • Self-managed Immuta deployment: The metadata database is located in the server where you have your external metadata database deployed.

  • SaaS Immuta deployment: The metadata database is located in the AWS global segment you have chosen to deploy Immuta.

name: K-Anonymization using kLevel
policyKey: data mask kanon specifying k
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: anyTag
      maskingConfig:
        type: K-Anonymization
        kLevel: 5
circumstances:
- type: anyTag

K-Anonymization (by Specifying Re-identification Probability)

Sample data is processed during computation of k-anonymization policies

When a k-anonymization policy is applied to a data source, the columns targeted by the policy are queried under a fingerprinting process that generates rules enforcing k-anonymity. The results of this query, which may contain data that is subject to regulatory constraints such as GDPR or HIPAA, are stored in Immuta's metadata database.

The location of the metadata database depends on your deployment:

  • Self-managed Immuta deployment: The metadata database is located in the server where you have your external metadata database deployed.

  • SaaS Immuta deployment: The metadata database is located in the AWS global segment you have chosen to deploy Immuta.

name: K-Anonymization using reIdProbability
policyKey: data mask kanon specifying re-id
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: anyTag
      maskingConfig:
        type: K-Anonymization
        reIdProbability: 15
circumstances:
- type: anyTag

Make Null Using Column Regex

name: Null using column regex
policyKey: data mask null
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: columnRegex
        regex: ssn
        caseInsensitive: true
      maskingConfig:
        type: "Null"
circumstances:
- type: columnRegex
  regex: ssn
  caseInsensitive: true

Randomized Response

name: Random Categorical
policyKey: data mask random response
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: allColumns
      maskingConfig:
        type: Randomized Response
        replacementRatePercent: 10

Randomized Response (by Specifying Standard Deviation)

name: Random Numeric
policyKey: data mask random response specifying stddev
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: allColumns
      maskingConfig:
        type: Randomized Response
        stddev: 2
        clip: false

Using a Regex

name: Regex
policyKey: data mask regex
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: columnTags
        columnTag: Discovered.Entity.Postal Code
      maskingConfig:
        type: Regular Expression
        regex: "(\\d{4})(\\d)"
        replacement: "$1X"
        caseInsensitive: true
        global: true
circumstances:
- type: columnTags
  columnTag: Discovered.Entity.Postal Code

With Reversibility

name: Mask using Reversible
policyKey: data mask reversible
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: columnTags
        columnTag: Discovered.Entity.Social Security Number
      maskingConfig:
        type: Reversible
    exceptions:
      groups:
      - founders
circumstances:
- type: columnTags
  columnTag: Discovered.Entity.Social Security Number

Using Rounding (Date)

name: RoundingDate
policyKey: data mask rounding by date
type: data
actions:
- rules:
  - type: Masking
    exceptions:
    config:
      fields:
      - type: columnTags
        columnTag: Discovered.Entity.Date
      maskingConfig:
        type: Grouping
        timePrecision: MONTH
circumstances:
- type: columnTags
  columnTag: Discovered.Entity.Date

Using Rounding (Using Fingerprint)

name: RoundingFingerprint
policyKey: data mask round using fingerprint
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: columnTags
        columnTag: Discovered.Entity.Date
      maskingConfig:
        type: Grouping
circumstances:
- type: columnTags
  columnTag: Discovered.Entity.Date

Using Rounding (Numeric)

name: RoundingNumeric
policyKey: data mask round numeric
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: columnTags
        columnTag: Discovered.Entity.Date
      maskingConfig:
        type: Grouping
        bucketSize: 10
circumstances:
- type: columnTags
  columnTag: Discovered.Entity.Date

Minimize Data Created Between

name: Minimize
policyKey: data minimize
type: data
actions:
- rules:
  - type: Minimization
    config:
      percent: 15
circumstances:
- type: time
  startDate: '2020-12-01T16:23:54.734Z'
  endDate: '2020-12-31T16:23:54.745Z'

Purpose Restrictions

Any Purpose

name: Purpose
policyKey: data purpose restriction
type: data
actions:
- rules:
  - type: Purpose Restriction
    config:
        operator: any
        purposes:
        - "<ANY PURPOSE>"

Purpose in Server

name: Purpose in a specific server
policyKey: data server circumstance
type: data
actions:
- rules:
  - type: Purpose Restriction
    config:
        purposes:
          - Re-identification Prohibited
circumstances:
- type: server
  server: your@server.example.com:5432/tpc

Row-level Policy

By Time

name: Row Level By Time
policyKey: data row-level
type: data
actions:
- rules:
  - type: Time Restriction
    config:
      isOlderOrNewer: newer
      time: 2592000
circumstances:
- type: tags
  tag: Discovered.PCI

Where User

name: Row Level Where User
policyKey: data where user
type: data
actions:
- rules:
  - type: Row Restriction By User Entitlements
    config:
      operator: all
      matches:
        type: group
        tag: Discovered.Entity
circumstanceOperator: ANY
circumstances:
- type: columnTags
  columnTag: Discovered.Entity

Custom Where Clause

name: Row Level Where
policyKey: data custom where
type: data
actions:
- rules:
  - type: Row Restriction by Custom Where Clause
    config:
      predicate: "@columnTagged('Discovered.Country')  in ('USA', 'CANADA', 'MEXICO')"
circumstances:
- type: tags
  tag: Discovered.Country

Multiple Policies

name: Multiple
policyKey: data multiple
type: data
actions:
- rules:
  - type: Masking
    config:
      fields:
      - type: columnTags
        columnTag: Discovered.PII
      maskingConfig:
        type: Hash
  description: 'PII Rule'
- rules:
  - type: Minimization
    config:
      percent: 25
  description: 'PII Rule, also'
- rules:
  - type: Masking
    config:
      fields:
      - type: columnTags
        columnTag: Discovered.PHI
      maskingConfig:
        type: "Null"
  description: 'PHI Rule'
circumstanceOperator: any
circumstances:
- type: columnTags
  columnTag: Discovered.PII
- type: columnTags
  columnTag: Discovered.PHI
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Last updated 10 months ago

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To ensure this process does not violate your organization's data localization regulations, you need to first activate this masking policy type before you can use it in your Immuta tenant. To enable k-anonymization for your account, see the .

To ensure this process does not violate your organization's data localization regulations, you need to first activate this masking policy type before you can use it in your Immuta tenant. To enable k-anonymization for your account, see the .

To ensure this process does not violate your organization's data localization regulations, you need to first activate this masking policy type before you can use it in your Immuta tenant. To enable k-anonymization for your account, see the .

k-anonymization section on the app settings how-to guide
k-anonymization section on the app settings how-to guide
k-anonymization section on the app settings how-to guide