The October 2026 release of Data Governance and Catalog includes the following new features and enhancements.
Enhancements to AI governance
To help your organization manage AI technologies and the data used by them responsibly and effectively, Data Governance and Catalog introduces the following enhancements:
New asset types
The October release introduces the following types of assets to Data Governance and Catalog:
- AI Use Case. An AI Use Case asset represents an initiative that uses AI to solve a specific problem or produce measurable outcomes.
- AI Agent. An AI Agent asset represents an AI-powered autonomous entity that uses a model and a set of tools to make decisions and take actions toward a goal.
- Questionnaire Template. A Questionnaire Template asset represents a set of questions that gathers information for a governance assessment, such as an impact, risk, or intake review. You can associate the template with an AI Use Case that you want to assess.
- Risk Template. A Risk Template asset helps you document details of a potential risk in an enterprise initiative. You can associate a risk with an AI Use Case, and associate one or more mitigation plans with the risk to address it.
- Mitigation Plan Template. A Mitigation Plan Template asset helps you document the plan of action for addressing a risk, and track its progress.
You can create the assets individually in Data Governance and Catalog interface or use bulk import templates to create multiple assets at once.
In Metadata Command Center, your organization administrator can customize these assets and enforce workflows for creating and updating them, as well as for associating them with an AI Use Case.
Agent Lineage
This release introduces a new lineage type that is unique to AI Agent assets, Agent Lineage. On the Agent Lineage tab of an AI Agent asset, you can view a visual representation of the tools, data, and other AI assets that are associated with the AI agent.
Importing AI agents
You can extract an AI Agent asset from the Google Vertex AI source system. You can then associate the extracted AI Agent technical asset with an AI Agent business asset.
Curation Center
Data Governance and Catalog introduces the Curation Center, a single page where you can review and act on all recommendations for the assets that you're responsible for, without the need to hunt through individual assets one at a time. Curation Center shows recommendations for glossary, business names, business descriptions, and classifications from all sources, including CLAIRE. You can curate recommendations and use Gen AI to generate business names and descriptions for assets.
You can use the following features of the Curation Center:
•View the summary of your recommendations from all enrichment sources at a glance. Summary charts show the number of assets that have pending, accepted, declined, or no recommendations.
•Act on recommendations from the new lineage propagation enrichment source. See Enrichment propagation based on lineage.
•Filter assets using various filter criteria to find recommendations you want to review.
•Review and act on one or more recommendations at once with full context.
•Use the Advanced Edit page to act on recommendations in bulk and edit them inline.
Enhancements to data lineage
The October includes the following enhancements:
View control flows
Show or hide control flow lines on an asset's lineage page. An asset's control flow reveals objects that influence how your data moves in the catalog. These lines show join conditions and expressions that apply to the transformation of data and appear as flow lines on the lineage interface.
Open transformation details
Open a lineage page that shows different transformation details for an asset in a lineage. On the lineage interface, click Open Transformation Details to view how your data moves from source to target. Detailed lineage for an asset show its data mapping, ELT pipeline, control flow, data type, data input and output, and applied SQL expressions.
Summarize transformation details
View an AI-generated explanation of the detailed lineage based on the catalog source metadata. Click Generate Summary when you view the detailed lineage of an asset to generate the explanation.
Manage additional configurations for a lineage view
Adjust the depth and direction of a lineage, and define the assets you want to see from an asset hierarchy. You can set the scope of the lineage view to a number of hops, and you can choose the lineage direction from the seed asset. You can also show or hide schemas in a lineage based on the data set parent name.
Assign lineage views
As an administrator in Data Governance and Catalog, you can assign lineage views to user roles in your organization. You can also set a lineage view as the default view that a user sees when they land on the Lineage tab of an asset page.
Performance enhancement
For organizations that run Data Governance and Catalog on Neo4j, you can load additional hops when you expand the depth of the lineage for upstream and downstream assets.
Enhancements to data profiling
The October release includes the following enhancements:
Add passive mapplets as rules
You can add passive mapplets from Data Integration as rules to a profile to calculate advanced column statistics on all the output ports of the mapplets.
Enhanced data element selection limit
You can choose up to 200 data elements to include in a profile.
Customize the Create Asset page for business assets
In Metadata Command Center, you can customize what a user sees on the Create page for business assets. You can customize an asset's create page by selecting the attributes that users fill when creating the asset. It also determines what a user views on an asset's Overview tab.
You can perform the following tasks to customize the create page for an asset:
•Design multiple versions of the Create page and assign them to different users, user groups, and user roles.
•Organize attribute panel and even remove optional attributes from the page.
•After you publish a custom create page, you can hide the visibility of default asset creation and preview pages from users in your organization.
Enhancements to bulk import
The October release includes the following key enhancements:
Asset Group management through bulk import
You can assign and update asset groups for multiple business and technical assets in a single operation using import files. In import and export template files, use the Asset Group column to associate asset groups with assets.
Manage recommendations for Glossaries and Data Classifications
You can remove glossary and data classification associations from multiple assets using import files. You can remove an association regardless of its current state. Enter the glossary or classification name or reference ID in the Glossaries: Remove and Data Classifications: Remove column.
Manage Policy to Data Classification relationships
When you import assets into Data Governance and Catalog, you can assign and remove relationships between a source Policy asset and a target Data Classification. On the Annexure sheet of a template file, you can define a Policy's association to a Data Element or Entity Classification. Use the is Regulating relationship or a customized relationship.
If you export assets with their relationships, Policy and Data Classification relationships appear in the Relationship sheet of the exported file.
Export the technical data elements of a business data set
When you export a business data set that includes child assets, the exported file includes technical data elements. In the export file, the assets appear in a separate sheet that includes the data elements contained within each business data set. The sheet also contains an Operation column so that you can add or remove those relationships when you re-import the file.
Enhancements to stakeholder propagation for assets
The October release includes the following key enhancements:
Control propagation
By default, Data Governance and Catalog enables propagation in technical assets and disables it in business assets. On the Stakeholder tab of an asset page, you can modify stakeholder propagation for each asset from Edit Stakeholders.
Select Propagate stakeholders if you want to assign the asset's stakeholders to child assets without stakeholders. Additionally, select Append stakeholders if you want to add the parent's stakeholders to a child asset's assigned stakeholders.
In a technical hierarchy, these controls show on assets for which you can assign stakeholders. The asset's child assets only receive inherited stakeholders and can't propagate them.
Enable propagation for business assets
In Data Governance and Catalog, you can allow business assets to propagate stakeholders in the child hierarchy. When you modify stakeholders of a business asset, you can configure the asset to assign its stakeholders to child assets that are with and without stakeholders.
When you create an asset without stakeholders and specify a parent asset with propagation enabled, the child asset inherits the parent asset's stakeholders. If you assign stakeholders during asset creation, the asset doesn't inherit the stakeholders.
View propagation details
When you configure the propagation for a business asset, the Stakeholder tab of its asset page shows if the propagation and append status is enabled or disabled. When you view stakeholders for technical and business assets, you can view the inheritance status of an asset's stakeholders. On the Stakeholder tab of an asset page, the Stakeholder Source column indicates if a stakeholder is inherited from a parent asset, or if the stakeholder is assigned to the asset.
Enhancements to governing unstructured data
The October release includes the following key enhancements:
Glossary association
You can associate glossary terms with unstructured files to relate them to your business vocabulary. Associate a Metric or a Business Term manually, or use the bulk import and export templates to manage associations.
Data element classification
Data Governance and Catalog uses the name and description of a data element classification to classify unstructured files with greater accurately. The document classification engine matches this text against file content to determine which classifications that apply. You can also use custom data element classifications to classify unstructured files.
Sensitivity
Data Governance and Catalog automatically applies sensitivity level to unstructured files, based on the rules defined in data classifications in Metadata Command Center.
Preview and download options for valid rows of a data quality rule occurrence
You can preview and download the valid rows for a data quality rule occurrence directly from the Data Preview options on the Score tab of the rule occurrence. The preview grid displays up to 1,000 valid rows, and you can download up to 20,000 valid rows as a compressed file.
Valid row preview and download are available for rule occurrences that you create in Data Governance and Catalog and for rule occurrences that you migrated from Data Profiling.
Data quality score upload using a JSON payload
You can use a public REST API to update the data quality score of a data quality rule occurrence by passing the score as a JSON payload in the request body. The API accepts one or more data quality scores in a single request and returns a success response with the job URI and job ID or a failure response with the appropriate response code.
Define column-level data quality checks through mapplets
You can use mapplets to define column-level data quality checks in Data Governance and Catalog. Mapplets let you encapsulate complex, reusable data quality logic and apply it consistently across rule occurrences, rule templates, and deep profiling workflows. Use mapplets when you want to reuse logic across multiple rules.
You can associate a mapplet with the following assets:
•A data quality rule template
•A manually created data quality rule occurrence
•A rule occurrence generated by CLAIRE
Additional asset search options
On the search page and within the search widgets, you can search for, filter, and group data elements by the following attributes:
•Associated data classifications
•Associated glossaries
•Classification categories
•Critical data element
•Sensitivity level
Additionally, on the data element page, Data Governance and Catalog displays a Critical Data Element (CDE) icon to indicate that the data element is a CDE on an associated glossary.
Data access management enhancements
You can use the following new and enhanced features for data access management:
•You can view pushdown enforcement information on the new Enforcement tab. You can view which assets a data access policy protects and which data access rules a data access policy applies to an asset. The status of the data access policy also appears. You can also view which technical assets have data access policies applied.
•You can push down data de-identification policies to the Databricks and Snowflake source systems.
•You can push down data access policies to external tables in the Databricks and Snowflake source systems.
Access control based on data classification sensitivity
When you create or modify an access policy in Metadata Command Center, you can add a sensitivity level as a predicate to a condition. The new predicate allows you to control access to assets based on the sensitivity level of their data classifications.
Enhancements to widgets
The October release includes the following enhancements:
Search-based widgets
The following enhancements apply to search-based widgets:
- Alphabetical ordering. The list of assets in the Group By options and the Select Display Columns list appear in alphabetical order.
- Additional Group By options and columns. You can group by and display additional columns based on the following asset types:
▪ AI System. AI System Type, Development Stage, Hierarchy, Asset Groups
- Improved stakeholder display. In the list view, stakeholders are shown by role, with a separate column for each role that lists the users assigned to it. Stakeholders display with their avatars.
- Classifications for unstructured assets.
When a grid contains unstructured assets, each supported classification type appears as its own column in the following way:
▪ Document classification
▪ Data entity classification
▪ Data element classification
Each classification type is a separate column that you can show or hide in grid customization. You can view the classification type in the grid.
- Grid customization in the widget drilldown. Similar to the Data Quality widget, you can customize the columns displayed in the widget drilldown grid. You can also set a sorting preference by Name or Last Updated.
- Change of assets in a widget. If the asset types in a widget change because the query results change, the system keeps your saved grid customization in the following ways:
▪ Available Columns: A column that applies to only some of the asset types remains in the list of available columns.
▪ Grid Display: When a selected column does not apply to an asset type, the column stays in the grid, and cells for that asset type remain blank.
▪ Saved Preferences: Every column you selected are saved in the saved preferences when the widget content changes.
- Additional filters. The widget drilldown includes additional filters, some of which apply only to specific asset types. In addition to the Group By attribute, you can filter by the following attributes:
▪ AI System Type
▪ Asset Groups
▪ Catalog Source Name
▪ Catalog Source Type
▪ Certified
▪ Critical Data Element
▪ Data range
▪ Environment
▪ Last Updated
▪ Policy Type
▪ Ratings
▪ Stakeholders
▪ System Type
- Filter components.
The drilldown grid uses the following filter components.
▪ Single Select with Find. It is used when you can select one value, for example, Critical Data Element, Certified, Last Updated, custom attributes.
▪ Multi-select with Find. It is used when you can select more than one value. Every other grid filter uses this component.
▪ Critical Data Element and Certified filters. Only True and False value options are displayed. The No value option is not displayed.
- Grid header.
The drilldown grid header is Assets for list, count, bar, and donut charts. The header stays Assets when you apply a filter.
- Percentage with counts. When you select a donut chart or a bar chart in a search-based widget, you can enable the option to show the percentage along with the counts.
- Result count. Search-based widgets show the result count against the total count.
Dashboard widgets
You can resize dashboard widgets to smaller dimensions. For the Donut, Count, and Bar Chart widgets, the chart adjusts as you resize the widget, displaying more or less detail based on the available space.
New catalog sources
This release includes the following new catalog sources:
•Amazon Bedrock
•Amazon SageMaker AI
•API Design
•dbt Cloud
•MuleSoft
•OpenLineage
•MCP Server
•Microsoft Fabric
•SAP Ariba
•SAP Cloud for Customer
•Trino
For more information about catalog sources, see the corresponding catalog source help.
Enhanced catalog sources
This release includes the following enhancements to catalog sources:
Amazon S3
You can use the IAM Roles Anywhere authentication type to connect to Amazon S3 source systems.
- You can extract metadata from Informatica Application Integration source systems.
- You can perform connection assignment to view lineage between an SAP ERP source system and an Informatica Intelligent Cloud Services source system.
- You can perform connection assignment to view lineage between an SAP Business Warehouse source system and an Informatica Intelligent Cloud Services source system source system.
- You can now configure how the catalog source reads Cloud Data Integration mapping task XML files when you extract metadata. Choose one of the following input fetch modes:
▪ API. Default. Fetches tasks through the Informatica Intelligent Cloud Services API.
▪ Files. Reads only the files in the input files folder.
▪ Both. Combines both modes, matching objects in the files and through the API.
- You can now extract metadata from the following activities in Automation Studio:
▪ Data Extract
▪ SQL Query with data extension sources
▪ SQL Query with data view sources
- You can add metadata extraction filters based on the automation object type.
- You can now extract metadata and add metadata extraction filters for the following Salesforce Data 360 and Salesforce CRM objects:
▪ Activation
▪ Segmentation
- You can perform connection assignment to view lineage between a Salesforce Marketing Cloud source system and the Salesforce Data 360 and Salesforce CRM applications.
- You can perform connection assignment to view lineage between a Cloudera Hadoop source system and a Tableau source system.
- You can extract metadata from published data sources and Salesforce sources such as CRM, Data360, and Semantic Layer through Tableau. You can also view the real project hierarchy along with more detailed assets information and lineage in Data Governance and Catalog.
When you define an access policy rule, you can now include sensitivity as a condition in the rule. You can grant or restrict access to assets based on how sensitive the associated data is.
Enrichment propagation based on lineage
You can configure Metadata Command Center to propagate enrichments to related assets based on lineage.
Enable autonomous enrichment to propagate curation values such as classifications, descriptions, business names, and glossary associations across catalog source assets. Enable autonomous enrichment globally, and then configure each catalog source to control how it receives enrichments.
Propagation settings determine which enrichment types propagate, from how many lineage levels they propagate, and whether values are automatically accepted or recommended.
For information about autonomous enrichment, see Autonomous Enrichment and the corresponding catalog source help.
Incremental metadata extraction
You can now run incremental metadata extraction jobs on the following catalog sources:
•Microsoft Fabric OneLake
•Microsoft OneDrive
A full metadata extraction extracts all objects from the source to the catalog. An incremental metadata extraction considers only the changed and new objects since the last successful catalog source job run. Incremental metadata extraction doesn’t remove deleted objects from the catalog and doesn’t extract metadata of code-based objects.
For more information about catalog sources, see the corresponding catalog source help.
LIKE operators in data classification rules and lookup tables
When you build data classification rules in Cloud Data Governance and Catalog, you can use the LIKE ALL, LIKE SOME, and LIKE ANY operators to match a value against multiple patterns in a single condition. You can also reference a lookup table column as the pattern source. Use LIKE (lkp.<table>.<column>), LIKE SOME (lkp.<table>.<column>), or LIKE ANY (lkp.<table>.<column>) to match against the values in a lookup column.
Metadata extraction from additional file types
You can now extract metadata from additional file formats across multiple catalog sources.
Newly Supported File Types:
•EML
•EMLX
•MSG
•RTF
•PPT
•PPTX
•JSONL
Supported Catalog Sources:
•Amazon S3
•File System
•Google Cloud Storage
•Hadoop Distributed File System
•Microsoft Azure Blob Storage
•Microsoft Azure Data Lake Storage Gen2
•Microsoft Fabric OneLake
•Microsoft OneDrive
•Microsoft SharePoint Online
•Oracle Cloud Object Storage
•SFTP File System
Deleting lookup tables
You can delete a lookup table that is not used in any data classification rule.
Workflow enhancements
This release includes the following workflow enhancements:
Periodic review of assets
You can set up a periodic review of assets while configuring workflow events in Metadata Command Center to certify business and data access assets in a schedule. Periodic review helps you keep assets accurate, up to date, and audit ready. You can configure a workflow event that reviews the assets that meet a condition, such as glossaries in a specific domain. When the schedule runs, the event automatically creates a review ticket for each qualifying business asset and data access asset.
Data Governance and Catalog creates review tickets automatically for the qualifying assets based on the schedule. The stakeholders defined in the workflow can review the asset, set its lifecycle to complete the review, and close the ticket. Each asset shows the last review date and the next review date. You can also search and browse assets by the last review date and the next review date.
Task due date and follow-up enhancements
You can set the time to follow-up a task in days in Metadata Command Center while configuring the workflow. A due date is the date by which you complete a task. A follow-up date is a date before the due date that reminds you to act on a task.
Overdue tasks appear in red in Data Governance and Catalog so that you can identify them quickly.
Inclusive gateway
You can add an inclusive gateway to a workflow to route the flow along one or more outgoing paths based on conditions. The inclusive gateway evaluates the condition on each outgoing path independently, and the workflow follows every path whose condition is true. If no condition is true, the workflow follows a default path. An inclusive gateway activates one or more paths based on conditions.
Delete workflow definitions
You can move a workflow definition to a Delete status when you no longer need it. A workflow definition in the Draft, Published, or Obsolete status can be moved to the Delete status. You can delete workflow definitions individually or in bulk.
Active tickets that use the workflow definition continue to run without impact. Closed and aborted tickets are not affected because the workflow definition remains available for them.
Approval workflows for asset lifecycle changes
You can configure a workflow that runs when the lifecycle of an asset changes. Under the asset management event category, a new event type, Approval Request for Lifecycle Change, triggers a workflow when an asset's lifecycle state changes. The workflow runs when an asset moves from the Published state to the Obsolete state, or from the Obsolete state to the Published state. When you configure a workflow for this event type, you can select only the Obsolete or Published state.
Service task to retrieve asset details in a workflow
You can add a service task to route a workflow dynamically, based on asset groups and the custom attribute values of the asset the workflow runs on. You can use these values in expressions that define the gateway conditions.
Using the asset details available in the gateway conditions, you can configure an inclusive gateway that directs the workflow based on the asset metadata. For example, you can route the workflow along a different path for an asset that belongs to a specific asset group.
AI-assisted expression generation
You can describe a workflow condition in plain language and generate an expression from the description. The generated expression uses the variables that are available to the target workflow element.
For stakeholder assignment in a user task, the application configuration determines whether the expression option is available. When the dynamic assignment is enabled, you can enter an expression to assign the task dynamically. When a static assignment is set, or the configuration is not set, the expression option is hidden. You can then select a user or a user group from the list.