There are several different advanced functions that are available for building subscription policies. Some of these functions, listed below, are narrowly focused on orchestrated RBAC use cases. Orchestrated RBAC is when an organization has many roles that represent access, and rather than switching to using the ABAC model provided by Immuta, they use these special functions to orchestrate existing roles using Immuta.

Specifically, the functions to enable orchestrated-RBAC are:

• @hostname

• @database

• @schema

• @table

• @hasTagAsAttribute('Attribute Name', 'dataSource' or 'column')

• @hasTagAsGroup('dataSource' or 'column')

Example 1

Policy:

@hasAttribute('SpecialAccess', '@hostname.@database.*')

User:

has the attribute SpecialAccess with the value us-east-1-snowflake.default.*

The user would be subscribed to all the data sources in the default database. Note this has nothing to do with tags, it is based purely on the physical name of the host, database, schema, and table in the native data platform. Also note that the user attribute contains an asterisk * to denote everything under the default database hierarchy. Asterisks are supported only for the infrastructure special functions:

• @hostname

• @database

• @schema

• @table

This is because, since it's an infrastructure view, Immuta can assume a 4-level hierarchy (hostname.database.schema.table) and an asterisk can be placed between any two objects in that 4-level hierarchy to represent any object, such as us-east-1-snowflake.*.hr. That would give the user access to any schema named hr in host us-east-1-snowflake no matter the database.

However, that is not possible when using the tag-based special functions:

• @hasTagAsAttribute('Attribute Name', 'dataSource' or 'column')

• @hasTagAsGroup('dataSource' or 'column')

This is because Immuta cannot rely on a 4-level hierarchy always being the case. For example, *.Age could mean many things in a tag hierarchy. However it does support using parent attributes to apply to child attributes as described in Example 2.

Lastly, the asterisk represents any object, but cannot be used for a concatenated wildcard like so: snowfl*.tpc.*.*

Example 2

Policy:

@hasTagAsAttribute('PersonalData', 'dataSource')

User:

has the attribute key PersonalData with the values

• Discovered.Person Name

• Discovered.Entity

Data source 1:

tagged:

• Discovered.Country

• Discovered.Passport

• Discovered.Person Name

Data source 2:

tagged:

• Discovered.State

• Discovered.Postal Code

• Discovered.Entity.Social Security Number

Data source 3:

tagged:

• Discovered.State

• Discovered.Passport

The user would be subscribed to data source 1 and 2, but the user would not be subscribed to data source 3. This is because access moves from left-to-right in the hierarchy based on what the user possesses (the wildcard asterisk is implied).

So if a user had a more specific attribute key PersonalData with the values Discovered.Entity.Social Security Number, they would only get access to hypothetical data source 2, because their attribute is further left or matches (in this case matches) Discovered.Entity.Social Security Number.

The below table provides more examples:

Merging special functions

It is also possible to build subscription policies separately that use these special functions and have them merge appropriately on data sources.

This could be helpful for use cases with a policy like the following:

If user has the attribute “Allowed_Domain.Domain A” they get access to generic data that is part of domain A.

If user has the attribute “Badge_Allowed.Badge X” they should gain access to both “generic data + any additional data (only in domain A because they only have “Data Domain A General Access”) that has been tagged as “Badge X”.

In this case it can be two separate subscription policies, such as

Policy 1: @hasTagAsAttribute(Allowed_Domain, ‘datasource’) this would limit to the domains where they are allowed to see generic data.

Policy 2: @hasTagAsAttribute(Badge_Allowed, ‘datasource’) this would limit to the badges they are allowed to see.

Then, when the data sources are tagged with table tags that represent access, if the table only has the domain tag, only policy 1 will apply; however, if it has a domain tag and a badge tag, both policies will be applied and merged successfully by Immuta.

Use with caution

While this approach is extremely powerful, in many cases, it will continue to leave you dealing with policy complexity associated with RBAC. Read the Automate data access control decisions use case for more details, specifically The two paths guide.

Subscription policies manage access to tables; they can be defined one of four ways:

• Anyone: Users will automatically be granted access (least restricted).

• Anyone who asks (and is approved): Users will need to request access and be granted permission by the configured approvers (moderately restricted).

• Users with specific groups or attributes: Only users with the specified groups/attributes will be able to see the data source and subscribe (moderately restricted). This restriction type is referred to as an attribute-based access control (ABAC) global subscription policy throughout this page.

• Individual users you select: The data source will not appear in search results; data owners must manually add/remove users (most restricted).

Immuta almost always recommends the ABAC global subscription policies, as described in our two Secure policy use cases:

See for a tutorial.

Access types

Immuta offers two types of subscription policies to manage read and write access in a single system:

• Read access policies manage who can read data.

• Write access policies manage who can modify data.

See the for details.

ABAC global subscription policies

When building an ABAC global subscription policy, the users that match the condition of the policy will automatically be subscribed to the data source by default without taking any action once the policy is activated.

Should user attributes or groups change, that will immediately impact their subscription status if the change results in them either gaining or losing subscription access to table in question. That is the power in these types of policies. You are future proofing the need to alter policies and instead simply need to represent the correct metadata on your users and the policies will react.

Also, by default, user access is reflected appropriately in the Immuta user interface. If a user does not have access to a particular table, that data source will not be visible to them.

The above default behavior can be altered using the below settings in the subscription policy builder:

• Allow Data Source Discovery Configures visibility so that data sources that the user cannot subscribe to are still discoverable in the Immuta.

• Require Manual Subscription In this case, rather than automatically subscribing users to the table, they must click the subscribe button in Immuta to subscribe to the table. This can be valuable if data consumers don't want to have thousands of tables they could access listed in their data platform, only the ones they care about.

Merging ABAC global subscription policies

In some cases, multiple ABAC global policies may apply to a single data source and can allow delegation of policy to many different policy builders. Rather than allowing the two policies to conflict, Immuta combines the conditions of the subscription policies.

Combining of global subscription policies only occurs with ABAC subscription policies. See the next section for how to deal with non-ABAC subscription policy conflicts.

In the ABAC subscription policy builder, the below option determines how to merge subscription policies:

• Always Required: Users must meet all the conditions outlined in each policy to get access (i.e., the conditions of the policies are combined with AND).

• Share Responsibility: Users need to meet the condition of at least one policy that applies (i.e., the conditions of the policies are combined with OR).

Consider the following global subscription policies potentially created by completely different users:

Policy 1: (Always Required)

Allow users to subscribe to the data source when user is a member of group HR; otherwise, allow users to subscribe when approved by an Owner of the data source.

Policy 2: (Shared Responsibility)

Allow users to subscribe to the data source when user is a member of group Analytics; otherwise, allow users to subscribe when approved by anyone with permission Governance.

Policy 3: (Shared Responsibility)

Allow users to subscribe to the data source when user has attribute Office Location Ohio; otherwise, allow users to subscribe when approved by anyone with permission Audit.

If a data source exists where all of these policies apply, the subscription policies are combined, which will result in a policy like this:

Combined policy:

Allow users to subscribe to the data source when user (@isInGroups('HR')) AND ((@isInGroups('Analytics')) OR (@hasAttribute('Office Location', 'Ohio')))

Otherwise

Allow users to subscribe when approved by ( anyone with permission Owner (of this data source) )

AND

( ( anyone with permission GOVERNANCE ) OR ( anyone with permission AUDIT ) )

Note that all the policies which have Always Required must have a manual override (approve by) selected for there to be any approved by in the final merged policy.

Once enabled on a data source, combined global subscription policies can be edited and disabled by data owners.

Managing non-ABAC subscription policy conflicts

If straying outside ABAC subscription policies, it is possible multiple global subscription policies created may apply to a single data source and not merge.

• Anyone

• Anyone who asks (and is approved)

• Individual users you select

When such conflicts occur, data owners can manually choose which policy will apply. To do this the data owner must

1. Disable the applied global subscription policy in the policies tab on a data source.

2. Provide a reason the global policy should be disabled.

3. Select which conflicting global subscription policy they want to apply.

ABAC global subscription policies using advanced domain specific language

Users can create more complex policies using functions and variables in the advanced DSL policy builder than the subscription policy builder allows.

Default subscription policy

By default, Immuta does not apply a subscription policy on registered data (unless an existing global policy applies to it).

Default subscription policy options

There are two settings available as the default subscription policy: none or allow individually selected users.

• None: The default. If this option is selected as the default subscription policy, a data source will have no subscription policy applied to it if

  • it is a new data source and no global policy matches it.

  • a data owner or governor removes an existing global subscription policy from the data source.

  Once a global subscription policy matches or a data owner applies a local subscription policy to a data source, that policy will restrict users’ access to the table.

• Allow individually selected users: If this option is selected, data owners have to manually add users as subscribers to the data source in Immuta for those users to query the underlying table.

Changing the default subscription policy setting only affects new data sources; existing data sources (and those in the process of being registered when the setting is changed) are unaffected. For example, if an Immuta data source’s subscription policy restricts access to members of the Marketing group before the feature is enabled, that existing subscription policy will still apply to that table in the underlying data platform; only users who are members of the Marketing group will be able to access that data.

Managing data policies when there is no subscription policy

Even if there is no subscription policy on a table, data owners and governors can manage data policies on data sources without affecting users’ access to the registered data sources. This can be powerful to manage table access outside of Immuta but want to manage data policies in Immuta.

Managing data source members

If no subscription policy is applied to a data source, users can only subscribe as data source owners; they cannot be added as regular subscribers. To add regular subscribers, a data owner or governor must apply a subscription policy to the data source.

Immuta offers two types of subscription policies to manage read and write access in a single system:

• Read access policies manage who can read data.

• Write access policies manage who can modify data.

Both of these access types can be enforced at any of the restriction levels outlined in the Subscription policies reference guide.

The table below illustrates the access types supported by each integration.

To create a read or write access policy, see the Author a subscription policy guide.

Policy enforcement

Once a read or write access policy is enforced on an Immuta data source, it translates to the relevant privileges on the table, view, or object in the remote platform. The sections below detail how these access types are enforced for each integration.

Granting Snowflake privileges

The Snowflake integration supports read and write access subscription policies. However, when applying read and write access policies to Snowflake data sources, the privileges granted by Immuta vary depending on the object type. For example, users can register Snowflake views as Immuta data sources and apply read and write policies to them, but when a write policy is applied to a view only the SELECT privilege will take effect in Snowflake, as views are read-only objects.

Users can register any object stored in Snowflake’s information_schema.tables view as an Immuta data source. The table below outlines the Snowflake privileges Immuta issues when read and write policies are applied to various object types in Snowflake. Beyond the privileges listed, Immuta always grants the USAGE privilege on the parent schema and database for any object that access is granted to for a particular user.

Granting Databricks Unity Catalog privileges

The Databricks Unity Catalog integration supports read and write access subscription policies. When users create a subscription policy in Immuta, Immuta uses the Unity Catalog API to issue GRANTS or REVOKES against the catalog, schema, or table in Databricks for every user affected by that subscription policy.

Users can register any object stored in Databricks Unity Catalog’s information_schema.tables view as an Immuta data source. However, when applying read and write access policies to these data sources, the privileges granted by Immuta vary depending on the object type. For example, users can register foreign tables as Immuta data sources and apply read and write policies to them, but only a read policy will take effect in Databricks and allow users to SELECT those tables. If a write policy is applied, Immuta will not issue SELECT or MODIFY privileges in Databricks.

The table below outlines the Databricks privileges Immuta issues when read and write policies are applied to various object types in Databricks Unity Catalog. Beyond the privileges listed, Immuta always grants the USAGE privilege on the parent schema and catalog for any object that access is granted to for a particular user.

Granting Databricks Spark privileges

The Databricks Spark integration supports read access subscription policies. When a read access policy is applied to a data source, Immuta modifies the logical plan that Spark builds when a user queries data to enforce policies that apply that user. If the user is subscribed to the data source, the user is granted SELECT on the object in Databricks. If the user does not have read access to the object, they are denied access.

Granting Starburst (Trino) privileges

The Starburst (Trino) integration supports read and write access subscription policies. In the Starburst (Trino) integration's default configuration, the following access values grant read and write access to Starburst (Trino) data when a user is granted access through a subscription policy:

• READ: When a user is granted read access to a data source, they can SELECT on tables or views and SHOW on tables, views, or columns in Starburst (Trino). This setting in enabled by default when you configure the Starburst (Trino) integration.

• WRITE: In its default setting, the Starburst (Trino) integration's write access value controls the authorization of SQL operations that perform data modification (such as INSERT, UPDATE, DELETE, MERGE, and TRUNCATE). When users are granted write access to a data source through a subscription policy, they can INSERT, UPDATE, DELETE, MERGE, and TRUNCATE on tables and REFRESH on materialized views. This setting is enabled by default when you configure the Starburst (Trino) integration.

Administrators can customize write access configuration to grant additional Starburst (Trino) table modification privileges. See the Custom configuration section below for an overview and example configurations.

Custom configuration

Because Starburst (Trino) can govern certain table modification operations (like ALTER) separately from data modification operations (like INSERT), Immuta allows users to specify what modification operations are permitted on data in Starburst (Trino). Administrators can allow table modification operations (such as ALTER and DROP tables) to be authorized as write operations through advanced configuration in the Immuta web service or Starburst (Trino) cluster with the following access values:

• OWN: When mapped via advanced configuration to Immuta write policies, users who are granted write access to Starburst (Trino) data can ALTER and DROP tables and SET comments and properties on a data source.

• CREATE: When this privilege is granted on Starburst (Trino) data, an Immuta user can create catalogs, schemas, tables, or views on a Starburst (Trino) cluster. CREATE is a Starburst (Trino) privilege that is not controlled by Immuta policies, and this property can only be set in the access-control.properties file on the Starburst (Trino) cluster.

Administrators can customize table and data modification settings in one or both of the following places; however, the access-control.properties overrides the settings configured in the Immuta web service:

• Immuta web service: Configuring write policies in the Immuta web service allows all Starburst (Trino) clusters targeting that Immuta tenant to receive the same write policy configuration for Immuta data sources. This configuration only affects tables or views registered as Immuta data sources. Use the option below to control how unregistered data is affected.

• Starburst (Trino) cluster: Configuring write policies using the access-control.properties file on a Starburst or Trino cluster allows access to be broadly customized for Immuta users on that cluster. This configuration file takes precedence over write policies passed from the Immuta web service. Use this option if all Immuta users should have the same level of access to data regardless of the configuration in the Immuta web service.

Immuta web service access grants mapping

Customizing read and write access in the Immuta web service affects operations on all Starburst (Trino) data registered as Immuta data sources in that Immuta tenant. This configuration method should be used when all Starburst (Trino) data source operations should be affected identically across Starburst (Trino) clusters connected to the Immuta web service. Example configurations are provided below. Contact your Immuta representative to customize the mapping of read or write access policies for your Immuta tenant.

accessGrantMapping:
  WRITE: ['READ', 'WRITE']
  READ: ['READ']

accessGrantMapping:
  WRITE: ['READ', 'WRITE', 'OWN']
  READ: ['READ']

Starburst (Trino) cluster access grants mapping

The Starburst (Trino) integration can also be configured to allow read and write policies to apply to any data source (registered or unregistered in Immuta) on a specific Starburst (Trino) cluster.

accessGrantMapping:
  WRITE: ['READ', 'WRITE']
  READ: ['READ']

accessGrantMapping:
  WRITE: ['READ', 'WRITE', 'OWN']
  READ: ['READ']

Two properties customize the behavior of read or write access for all Immuta users on that Starburst cluster:

• immuta.allowed.immuta.datasource.operations: This property governs objects (catalogs, schemas, tables, etc.) that are registered as data sources in Immuta. For these permissions to apply, the user must be subscribed in Immuta and not be an administrator (who gets all permissions).

• immuta.allowed.non.immuta.datasource.operations: This property governs objects (catalogs, schemas, tables, etc.) that are not registered as data sources in Immuta. This is the only property that allows the CREATE permission, since CREATE is enforced on new objects that do not exist in Starburst (Trino) or Immuta yet (such as a new table being created with CREATE TABLE).

The default configuration and an example of a custom configuration are provided below. See the Customize read and write access policies in Starburst (Trino) page for guidance on configuring these properties in your Starburst (Trino) cluster.

immuta.allowed.immuta.datasource.operations=READ,WRITE
immuta.allowed.non.immuta.datasource.operations=READ,WRITE,CREATE,OWN

immuta.allowed.immuta.datasource.operations=READ,WRITE,OWN
immuta.allowed.non.immuta.datasource.operations=READ,WRITE,CREATE,OWN

Granting Redshift privileges

The Redshift integration supports read access subscription policies. Immuta grants the SELECT Redshift privilege to the PUBLIC role when the integration is configured, which allows all users who meet the conditions of a subscription policy to access the Immuta-managed view. When a data source is created, Immuta creates a corresponding dynamic view of the table with a join to a secure view that contains all Immuta users, their entitlements, their projects, and a list of the tables they have access to. When a read policy is created or updated (or when a user's entitlements change, they switch projects, or when their data source access is approved or revoked), Immuta updates the secure view to grant or revoke users' access to the data source. If a user is granted access to the data source, they can access the view. If a user does not have read access to the view, zero rows are returned when they attempt to query the view.

Granting Azure Synapse Analytics privileges

The Azure Synapse Analytics integration supports read access subscription policies. Immuta grants the SELECT privilege to the PUBLIC role when the integration is configured, which allows all users who meet the conditions of a subscription policy to access the Immuta-managed view. When a read policy is created or removed (or when a user's entitlements change, they switch projects, or when their data source access is approved or revoked), Immuta updates the view that contains the users' entitlements, projects, and a list of tables they have access to grant or revoke their access to the dynamic view. Users' read access is enforced through an access check function in each individual view. If a user is granted access to the data source, they can access the view. If a user does not have read access to the view, they receive an Access denied: you are not subscribed to the data source error when they attempt to query the view.

Granting Google BigQuery privileges

The Google BigQuery integration supports read access subscription policies. In this integration, Immuta creates views that contain all policy logic. Each view has a 1-to-1 relationship with the original table, and read access controls are applied in the view. After data sources are registered, Immuta uses the custom user and role, created before the integration is enabled, to push the Immuta data sources as views into a mirrored dataset of the original table. Immuta manages grants on the created view to ensure only users subscribed to the Immuta data source will see the data.

Granting Amazon S3 privileges

The Amazon S3 integration supports read and write access subscription policies. Users can apply read and write access policies to data in S3 to restrict what prefixes, buckets, or objects users can access or modify. To enforce access controls on this data, Immuta creates S3 grants that are administered by S3 Access Grants, an AWS feature that defines access permissions to data in S3. To query a data source they are subscribed to, users request temporary credentials from their Access Grants instance. These just-in-time access credentials provide access to a prefix, bucket, or object with a permission level of READ or READWRITE in S3. When a user or application requests temporary credentials to access S3 data, the S3 Access Grants instance evaluates the request against the grants Immuta has created for that user. If a matching grant exists, S3 Access Grants assumes the IAM role associated with the location of the matching grant and scopes the permissions of the IAM session to the S3 prefix, bucket, or object specified by the grant and vends these temporary credentials to the requester. If the grant does not exist for the user, they receive an Access denied error.

S3 Access Grants READ and READWRITE access levels

Immuta read policies translate to the READ access level in S3 Access Grants and Immuta write policies translate to the READWRITE access level. The table below outlines the Amazon S3 actions granted on an S3 data source when users meet the restrictions specified in an Immuta read or write access subscription policy that is applied to the data source. See the AWS documentation for more details about grants, access levels, and actions.

Write access policy limitations

• With the exception of the Starburst (Trino) integration, users can only modify existing data when they are granted write access to data; they cannot create new tables or delete tables.

• Write actions are not currently captured in audit logs.