GCP Release Notes: January 29, 2026

GCP Release Notes: January 29, 2026

Anthos Config Management

Change

Addressed multiple Common Vulnerabilities and Exposures (CVEs) by updating dependencies.

Breaking

Upgraded the Open Telemetry image from v0.119.0 to v0.127.0. This version removes the deprecated OpenCensus receiver. This change impacts only custom metric solutions that use the OpenCensus receiver. To understand the changes in each release, review the change logs

Fixed

Resolved an issue where metrics for deleted ResourceGroups continued to show outdated values.

Change

Upgraded bundled Helm version from v3.15.3 to 3.18.6 to pick up vulnerability fixes. To understand the changes in each release, review the changelogs.

BigQuery

Feature

BigQuery now supports a RANDOM_HASH predefined masking rule. This rule returns a hash of the column’s value using a salted hash algorithm, and it provides stronger security than the standard Hash (SHA-256) rule.

For more information, see Data masking rules.

Feature

BigQuery now offers conversational analytics, which accelerates data analysis by enabling insights through natural language. Users can view a predefined sample agent, chat with their BigQuery data or custom agents, and access those agents even outside of BigQuery. They can also use supported BigQuery ML functions in verified queries and in chat. This feature is in Preview.

Feature

You can now create BigQuery ML models by using the Google Cloud console.

This feature is generally available (GA).

Dataplex

Feature

You can control data lineage ingestion for Dataproc at the organization, folder, or project level. This feature is in Preview. For more information, see Control lineage ingestion.

Google Cloud VMware Engine

Announcement

Stretched private clouds capable of hosting both ve1 and ve2 node-family clusters are now available in the following regions:

  • Sydney, Australia, Asia Pacific (australia-southeast1-a, australia-southeast1-b)
  • Frankfurt, Germany, Europe (europe-west3-a, europe-west3-b)

While a stretched private cloud can contain mixed node families, each individual stretched cluster must be comprised of nodes from the same family type.

Google SecOps

Feature

Rule observability for detections and alerts

New metadata is now included in all detection and alert objects, indicating if the detection was produced during a primary rule run or through a rule replay. This information can be used in dashboards and as a filter in the Alerts lister page using the field collection.detection_timing_details.

Google SecOps SIEM

Feature

Enhanced rule observability for detections

Google SecOps now provides increased visibility into detection timing to help improve dashboard and reporting accuracy. You can now easily distinguish whether a detection was generated during a primary rule run or through a rule replay. This data is available in dashboards and as a filter in the Alerts lister page using the field collection.detection_timing_details.

Feature

Rule observability for detections and alerts

New metadata is now included in all detection and alert objects, indicating if the detection was produced during a primary rule run or through a rule replay. This information can be used in dashboards and as a filter in the Alerts lister page using the field collection.detection_timing_details.

Source: Google Cloud Platform

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