Tools in Vertex AI that can help with governance

Vertex AI offers several tools to help with ML solution governance and monitoring that you can utilize to implement and track your organization’s standard governance policies and more generic governance best practices. Please keep in mind that for many of the governance policies, especially the ones around security and cost management, you will need to use tools outside of Vertex AI. For example, to set up monthly cost limits and budgets, you will need to use GCP’s native billing tools.

Let’s walk through the details of the different tools within Vertex AI that can be used as part of MLOps governance processes:

Model Registry

Vertex AI Model Registry provides a centralized, organized, and secure location for managing all ML models within an organization. This facilitates seamless and efficient ML operations, from development and validation to deployment and monitoring:

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