What's new and changed in IBM Knowledge Catalog

IBM Knowledge Catalog updates can include new features and fixes. Releases are listed in reverse chronological order so that the latest release is at the beginning of the topic.

You can see a list of the new features for the platform and all of the services at What's new in IBM Software Hub.

Installing or upgrading IBM Knowledge Catalog

Ready to install or upgrade IBM Knowledge Catalog?

  • To install IBM Knowledge Catalog along with the other IBM® Software Hub services, see Installing IBM Software Hub.
  • To upgrade IBM Knowledge Catalog along with the other IBM Software Hub services, see Upgrading IBM Software Hub.
  • To install or upgrade IBM Knowledge Catalog independently, see IBM Knowledge Catalog.
    Remember: All of the IBM Software Hub components associated with an instance of IBM Software Hub must be installed at the same version.

IBM Software Hub Version 5.2.2

A new version of IBM Knowledge Catalog was released in October 2025 with IBM Software Hub 5.2.2.

Operand version: 5.2.2

This release includes the following changes:

New features
This release of IBM Knowledge Catalog includes the following features:
Import, enrich, and assess the quality of data from additional data sources
You can now import metadata from DataStax Enterprise data sources, enrich that data, and assess its quality.

In addition, you can now run advanced analysis on data from IBM Db2 Warehouse data sources, create SQL-based assets from those such sources, and write analysis output to tables in IBM Db2 Warehouse.

View all data protection rule connections in relationship explorer
You can now view all items that are connected to data protection rules in the relationship explorer view to better understand how the rules are applied.
Try the new interface for building reporting queries to gather insights into metadata
You can now use the Reporting queries UI to create complex queries about your assets and artifacts without the need to use SQL. You can save your queries and share them with other users.
Updates
The following updates were introduced in this release:
  • For data quality rules with external bindings, you can now configure the columns for quality score reporting in the rule subflow stage.
  • You can now capture SQL-based data quality rules in the reporting data mart.
  • Custom properties can now be used to filter the results in global search.
  • When importing reference data sets, you can now append related values without overwriting the existing ones.
  • Asset description can now be up to 3,000 characters long.
  • You can now add any user or user group as an asset member.
  • For CSV import, added fields for schema, physical table, connection name, and connection resource key details. To associate assets with existing connections, provide schema and physical table details.
Customer-reported issues fixed in this release
For a list of customer-reported issues that were fixed in this release, see the Fix List for IBM Cloud Pak® for Data on the IBM Support website.
Security issues fixed in this release
The following security issues were fixed in this release:

CVE-2025-1094, CVE-2025-32414, CVE-2025-32415, CVE-2025-3730, CVE-2025-3777, CVE-2025-3933, CVE-2025-41242, CVE-2025-4373, CVE-2025-47273, CVE-2025-48989, CVE-2025-5197, CVE-2025-5222, CVE-2025-52520, CVE-2025-53506, CVE-2025-53864, CVE-2025-55163, CVE-2025-5914, CVE-2025-6965, CVE-2025-7425, CVE-2025-8058, CVE-2025-8194, CVE-2025-8714, CVE-2025-8715, CVE-2025-8916, CVE-2025-8941

CVE-2024-0397, CVE-2024-0985, CVE-2024-10979, CVE-2024-13009, CVE-2024-28863, CVE-2024-35195, CVE-2024-3651, CVE-2024-37891, CVE-2024-4317, CVE-2024-47081, CVE-2024-52533, CVE-2024-7143, CVE-2024-7348, CVE-2024-7592

CVE-2023-2727, CVE-2023-2728, CVE-2023-39417, CVE-2023-39418, CVE-2023-43804, CVE-2023-5868, CVE-2023-5869, CVE-2023-5870

CVE-2022-29458, CVE-2022-3606, CVE-2022-3857

CVE-2021-41720, CVE-2021-45940, CVE-2021-45941

IBM Software Hub Version 5.2.1

A new version of IBM Knowledge Catalog was released in August 2025 with IBM Software Hub 5.2.1.

Operand version: 5.2.1

This release includes the following changes:

New features
This release of IBM Knowledge Catalog includes the following features:
Relationship explorer shows all SLA rules and reference data sets relationships
The Relationship explorer now shows more relationships:
  • All items that are connected to SLA rules are displayed.
  • Relationships between reference data values in the same or various reference data sets are displayed. One-to-one and one-to-many relationships are shown. 
These enhanced relationship visualizations provide a more complete governance view and improve impact analysis and compliance tracking.
Select models for use with the gen AI capabilities
If your deployment is set up to run the models for the gen AI capabilities on a remote instance of watsonx.ai™, you can now choose to work with other supported foundation models instead of the default ones. 
Use definition-based data quality rules with external bindings multiple times in your DataStage flows
Tech preview You can now create data quality rules that you can use any number of times in one or more DataStage flows. Create a definition-based rule with external bindings in the project. Then, add the rule to a DataStage flow by selecting it from the Asset Browser stage as many times as needed. When you update the respective data quality rule asset, the changes are automatically reflected in any flow that contains the rule. For each rule that you run, you can decide which associated DataStage flows are run.
Import sample predefined business terms with the Knowledge Accelerators UI

You can now install a sample of 100 predefined business terms by using the Knowledge Accelerators importing UI. Use the sample business terms to classify personal data across key concepts such as Person, Organization, Employment Record, Contact Information, and Finance Information.

Updates
The following updates were introduced in this release:
  • For new projects, the default method for generating display names in metadata enrichment is now Generative AI.
  • You can now select assets or columns from multiple pages for bulk actions in metadata enrichment.
  • You can now run data quality rules on data from Salesforce.com data sources and create query-based data assets from such data sources.
  • The Data Quality feature is now also available on Power (ppc64le) hardware.
  • When you're creating metadata imports for discovery and lineage, you can now edit your goals after the job is completed. If you can't use a goal with the selected DSD or connection, the goal isn’t available on the Define goals page.
  • Custom properties and relationships can now be restricted by categories.
  • Text is now set as default when creating a new reference set.
  • When bulk-editing categories, you can now make edits to collaborators.
Customer-reported issues fixed in this release
For a list of customer-reported issues that were fixed in this release, see the Fix List for IBM Cloud Pak for Data on the IBM Support website.
Security issues fixed in this release
The following security issues were fixed in this release:

CVE-2025-0395, CVE-2025-0938, CVE-2025-21587, CVE-2025-22227, CVE-2025-22233, CVE-2025-22235, CVE-2025-22868, CVE-2025-22871, CVE-2025-23165, CVE-2025-23166, CVE-2025-23167, CVE-2025-24528, CVE-2025-24928, CVE-2025-25193, CVE-2025-25724, CVE-2025-2953, CVE-2025-30698, CVE-2025-30749, CVE-2025-30754, CVE-2025-30761, CVE-2025-31498, CVE-2025-32462, CVE-2025-3262, CVE-2025-3263, CVE-2025-3264, CVE-2025-3277, CVE-2025-3576, CVE-2025-41234, CVE-2025-4138, CVE-2025-4330, CVE-2025-4435, CVE-2025-4517, CVE-2025-4565, CVE-2025-46653, CVE-2025-46701, CVE-2025-4673, CVE-2025-46762, CVE-2025-47287, CVE-2025-4802, CVE-2025-48060, CVE-2025-48379, CVE-2025-48734, CVE-2025-48988, CVE-2025-49124, CVE-2025-49125, CVE-2025-49794, CVE-2025-49796, CVE-2025-50059, CVE-2025-50106, CVE-2025-53643, CVE-2025-54121, CVE-2025-5702, CVE-2025-6020, CVE-2025-6021, CVE-2025-6545, CVE-2025-6547, CVE-2025-7339, CVE-2025-7783

CVE-2024-10963, CVE-2024-12087, CVE-2024-12088, CVE-2024-12133, CVE-2024-12243, CVE-2024-12718, CVE-2024-12747, CVE-2024-22201, CVE-2024-23337, CVE-2024-23944, CVE-2024-52615, CVE-2024-56171, CVE-2024-8184, CVE-2024-9823

CVE-2023-2976, CVE-2023-43642, CVE-2023-44981

CVE-2022-25647, CVE-2022-49043

CVE-2020-11022, CVE-2020-11023, CVE-2020-23064, CVE-2020-7656, CVE-2020-8908

CVE-2019-11358, CVE-2019-5428

CVE-2018-10237

CVE-2015-9251

CVE-2014-6071

CVE-2012-6708

CVE-2011-4969

IBM Software Hub Version 5.2.0

A new version of IBM Knowledge Catalog was released in June 2025 with IBM Software Hub 5.2.0.

Operand version: 5.2.0

This release includes the following changes:

New features
This release of IBM Knowledge Catalog, IBM Knowledge Catalog Premium, and IBM Knowledge Catalog Standard includes the following features:
IBM Knowledge Catalog is now available on Power hardware
You can now install the IBM Knowledge Catalog service on a Red Hat® OpenShift® Container Platform on Power (ppc64le) hardware.
Manage identical data assets consistently
Govern connected data assets that represent the same physical resource (identical data assets) across multiple governed catalogs and specific projects. Now, connected data assets reference the same set of asset properties (shared properties), so when shared properties and their values are updated, the changes are immediately visible on all identical data assets across the specified workspaces. 
Generate business terms with gen AI-powered glossary generation

In IBM Knowledge Catalog Premium, facilitate data governance by automatically generating business terms and reducing the time that is needed to establish glossaries. Business terms are generated based on specific business need. Business terms have defined names and descriptions. The terms are already linked to specific data with automatically assigned relationships to other business terms in the glossary.

Publish SQL query assets to catalogs
You can now publish SQL query asset types to catalogs. In governed catalogs, previews of SQL query data assets with data protection rules enforced are also available.
Define execution windows for metadata import jobs
With execution windows, you can set your metadata import jobs to run only in the specified time ranges on selected days as needed. Your job runs will pause automatically if not complete within the configured execution window, and the jobs will resume when the next execution window starts.
Enhanced setup options for gen AI capabilities
You can now enable the generative AI capabilities in IBM Knowledge Catalog Premium with one of these model options:
  • Use a Granite model that is started on the internal containers with CPUs for LLM-based enrichment.
  • Use local watsonx.ai inference foundation models (watsonx_ai_ifm) that require GPU for LLM-based enrichment, and term generation and assignment.
  • Work with external watsonx.ai models in an existing IBM watsonx.ai instance on a remote IBM Cloud Pak for Datacluster or in IBM watsonx™ as a Service for LLM-based enrichment, and term generation and assignment.
Automate data quality analysis
Instead of running a basic data quality analysis with a fixed set of predefined checks in metadata enrichment, you can now have data quality checks automatically generated for your data. You can immediately run these suggested checks as another step in the enrichment . Or, you can review and adjust the checks, and then add the run step to the enrichment before you re-enrich your data.

Data quality checks can be generated based on profiling results, generated based on constraints that are defined in assigned business terms, or you can manually add them to check an entire data asset or specific columns. Users can decide whether these checks should be applied without further review, or review and then have the reviewed ones applied. Available types of data quality checks include the checks that were available in earlier releases and a set of new checks, for example, checks for historical stability and referential integrity.

Provide additional context for name generation in metadata enrichment
In IBM Knowledge Catalog Premium, you can now configure default enrichment settings to provide additional context to the model when you run metadata enrichment with the option to generate display names by using generative AI:
  • Use data from the sample that is generated by profiling
  • Use a custom set of abbreviations
  • Use assets with assigned display names
Rule-based term assignment
You can now set up rules and rule groups for how you want terms to be assigned to data assets and columns. Upload the rules to a project as a CSV file for consumption by the term assignment service.
Import, enrich, and assess data quality of data from additional data sources
You can now import metadata from remote file systems by using an FTP connection, enrich that data, and assess its quality.
Add governance artifacts with View permission on the target
You can now create a custom relationship type for governance artifacts that have only a Viewer permission on the target of the relationship. If you create this kind of relationship type, more people within the organization will be able to create necessary relationships.
View indirect relationships on the relationship explorer canvas
You can now see indirect relationships between items on the canvas. Indirect relationship appears when some items were hidden on the canvas and other items connects through them. Those relationships are indicated by a dashed line.
Use AI search to find assets and artifacts

The search experience is enhanced with LLM-based technology. You can now use AI search when searching for artifacts and assets. By extracting and rewriting your search queries with semantically equivalent terms, intelligent search provides more relevant and comprehensive results, even if your exact words are not present in the indexed content. Such results are marked with the AI icon. With AI search you can navigate through complex data catalogs effortlessly, improving data discovery by surfacing assets that would otherwise remain hidden due to mismatched terminology.

Import Knowledge Accelerators with the new user interface
You can now import Knowledge Accelerators with the end-to-end setup interface offering a guided experience that requires no advanced technical skills. The import tool simplifies installation, so you can quickly adopt Knowledge Accelerators and drive value from data governance tools.
Updates
The following updates were introduced in this release:
  • Accept or reject the display names or descriptions that are generated for data assets and columns in bulk from the metadata enrichment results (IBM Knowledge Catalog Premium).
  • Data quality SLA assessments are now also run when the data quality score of an asset changes as the result of running a data quality rule. An instance administrator can disable data quality SLA assessments for results of rule runs for the entire deployment.
  • The Knowledge Accelerators Data Privacy content has been updated to include new classified business terms in areas of Social Media, Biometrics and Location tracking. The existing classifications to guide the identification of personal information (PI) and sensitive personal information (SPI) have also been updated.
  • The following reporting enhancements were introduced:
    • Include custom properties outside of a property group
    • Include custom properties scoped to catalog and project
Customer-reported issues fixed in this release
For a list of customer-reported issues that were fixed in this release, see the Fix List for IBM Cloud Pak for Data on the IBM Support website.
Security issues fixed in this release
The following security issues were fixed in this release:

CVE-2025-0426, CVE-2025-22223, CVE-2025-22228, CVE-2025-22866, CVE-2025-22870, CVE-2025-24928, CVE-2025-27144, CVE-2025-27152, CVE-2025-27363, CVE-2025-27516, CVE-2025-27789, CVE-2025-31672

CVE-2024-40635, CVE-2024-45341, CVE-2024-56171, CVE-2024-57699, CVE-2024-8176, CVE-2024-9042

CVE-2022-37967