Access Transparency in Vertex AI

This page provides an overview of the support Access Transparency provides for Vertex AI.

Overview

Access Transparency provides you with logs that capture the actions Google personnel take when accessing your content.

Cloud Audit Logs show when members of your organization access content in your Google Cloud projects. Similarly, Access Transparency provides logs of the actions taken by Google personnel.

You can enable Access Transparency for a Google Cloud project, if the project resides in an organization.

Supported services

Access Transparency supports the following Vertex AI services:

• Colab Enterprise
• Generative AI on Vertex AI
• Vertex AI AutoML training
• Vertex AI custom training
• Vertex AI Feature Store
• Vertex AI Model Monitoring
• Vertex AI Pipelines
• Vertex AI Inference
• Vector Search
• Vertex AI TensorBoard
• Vertex AI Workbench instances
• Vertex AI Workbench managed notebooks
• Vertex AI Workbench user-managed notebooks
• Vertex Explainable AI
• Vertex ML Metadata
• Vertex AI Vizier

Limitations of Access Transparency in Vertex AI

All access to your data in Vertex AI by Google personnel is logged, except for the following scenarios:

• Scenarios where Access Transparency logs are excluded in all supported Google Cloud services
• Using custom containers to serve online inference or batch inference requests from custom-trained models
• Using Vertex Explainable AI with custom containers
• Using AutoML forecasting-related resources such as forecasting datasets and forecasting models.
• Using the following components:
  • Generative AI on Vertex AI: Model Tuning (Vision)
  • Generative AI on Vertex AI: Online inference (Vision)
  • Vertex AI Vizier
  • Vertex AI RAG Engine
  • Vertex AI Agent Engine
  • Vertex AI context caching

What's next

• Learn about the content of Access Transparency logs.
• Learn when you would use Access Transparency.