Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window. Try Gemini 1.5 models, our newest multimodal models in Vertex AI, and see what you can build with a 1M token context window.

Security controls for Vertex AI

Vertex AI implements Google Cloud security controls to help secure your models and training data. Some security controls aren't supported by Generative AI features in Vertex AI. The following table lists the security controls available for Vertex AI features.

	Data residency (at-rest)¹	Customer-managed encryption key (CMEK)	VPC Service Controls (VPC-SC)	Access Transparency (AXT)
Vertex AI Platform	✔	✔	✔	✔

¹Vertex AI Feature Store and Vertex Data Labeling don't meet data-at-rest commitments.

Learn more about Data residency by expanding General Service Terms and reading 1. Data Location.

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Learn more about Generative AI security controls.