TotalAI Release 1.7.1

June 16, 2026

Discover and Scan Vertex AI models in GCP Environment 

TotalAI now supports the discovery, import, and management of Vertex AI models from Google Cloud Platform (GCP). You can also scan these models to identify security and compliance issues, enabling consistent AI governance and risk management across your GCP-hosted AI assets.

This enhancement extends TotalAI coverage to GCP environments and improves visibility into AI model assets. You can use the GCP AI inventory to:

• Process and persist model metadata, including version and region information.
• Track model versions and associated deployment endpoints.
• Maintain region-specific model inventory.
• Correlate models with security detections.

To view the discovered models, navigate to TotalAI (TA) > Inventory > Cloud Services > Google Cloud Platform.

To learn more about this feature, refer to the view cloud service topic in TotalAI Online Help.

Confirm Potential Models in GCP Environment

You can now Confirm potential AI models discovered in your GCP environment, enabling their management and security assessment within TotalAI.

To Confirm the Potential AI models discovered in the GCP environment, navigate to Inventory > Models > Potential tab.

Required Application Version

TotalCloud 2.25.0

To learn more about this feature, refer to the view models topic in TotalAI Online Help.

Onboard Locally Deployed Models Without API Key Authentication

You can now onboard locally deployed models without providing API keys for authentication. This enhancement simplifies the model creation workflow and reduces configuration effort, enabling faster and more seamless onboarding of self-hosted AI models.

Currently, the option to onboard with API key is available only for the Azure OpenAI, Chat Completion, and Databricks Chat models. 

To onboard a model without an API key, navigate to TotalAI > Inventory > Models > New Model > Basic Information > Authentication Details.

Issue Addressed

The following is the important and notable customer issue fixed in this release.

Category/Component	Description
AWS Region Mapping	We fixed an issue where a few regions were unavailable for models in the AWS Bedrock runtime. Now, all the regions supported for AWS Bedrock are available for model configuration.