2026.2 release notes
March 2026
The Continuous Compliance 2026.2.0.0 release introduces Red Hat OpenShift certification for Containerized Masking Engines, enabling deployment and lifecycle management within OpenShift environments. This release also includes several stability and usability improvements, including fixes related to masking behavior, job processing performance, UI responsiveness, and connector authentication updates.
On this page:
New features
OpenShift support for Containerized Masking Engines
This release adds Red Hat OpenShift certification for Containerized Masking Engines, enabling deployment, scaling, and lifecycle management within OpenShift environments.
Flexible deployment with ECR and Helm
This release enhances the containerized Continuous Compliance engine with support for Amazon Elastic Container Registry (ECR) hosting and Helm-based deployment. This enables flexible installation and upgrades using secure private repositories and streamlined image management.
Fixed issues
| Bug number | Description |
|---|---|
| DLPX-81694 | Fixed an issue where masking two columns with the same name but different letter casing resulted in the same algorithm being applied. |
| DLPX-95694 | Fixed a layout issue in the RegEx Decompose algorithm wizard to improve navigation when working with lengthy regular expression statements. |
| DLPX-96288 | Fixed an issue where the Bulk File Update API in file masking rule-sets caused the UI to become unresponsive for over a minute when processing large numbers of files. |
| DLPX-96443 | Fixed an issue where the Masking Engine became unresponsive during startup when a large number of job execution entries were in a running state. |
| DLPX-96469 | Fixed a file descriptor leak occurring during each compliance job execution. |
| DLPX-96509 | Fixed an issue where existing mainframe dataset connectors could not be updated to use Password Vault authentication and reverted to username/password on save. |
Known issues
|
Key |
Summary |
Workaround |
|---|---|---|
| DLPX-80640 | Masking drop Indexes task does not find and remove indexes on SQL Server partitioned tables in both on-the-fly and in-place masking jobs. | Manually script the drop and recreate indexes. |
| DLPX-93701 | On the fly masking job fails when using different source and target connector types (mixed Cloud and On-premise connectors) for JSON, XML, and Parquet files. | None |
| DLPX-95510 | Parquet masking jobs fail in GCP interoperability mode when the GCP bucket name contains underscores. This occurs because the Hadoop S3A client enforces AWS bucket-naming rules before the request reaches GCS. | None |