Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window. Try Gemini 1.5 models, the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.

Security controls for Generative AI

Vertex AI implements Google Cloud security controls to help secure your models and training data.

The following table lists the security controls available for Generative AI features:

	Data residency (at-rest)¹	Customer-managed encryption key (CMEK)	VPC Service Controls (VPC-SC)	Access Transparency (AXT)
Gemini 1.5 Flash
Online Prediction	✔	✔	✔	✔
Batch Prediction	✔	✔	✔	✔
Gemini 1.0 Pro Vision
Online Prediction	✔	✔	✔	✔
Gemini 1.0 Pro
Online Prediction	✔	✔	✔	✔
Tuning²		✔	✔
Embeddings for Multimodal
Online Prediction	✔	✔	✔	✔
Batch Prediction	✔	✔	✔	✔
Tuning	✔	✔	✔	✔
Embeddings for Text
Online Prediction	✔	✔	✔	✔
Batch Prediction	✔	✔	✔	✔
Tuning	✔	✔	✔	✔
Embeddings for Multimodal
Online Prediction	✔	✔	✔	✔
Imagen for Image Generation
Online Prediction	✔	✔	✔	✔
Tuning	✔	✔	✔	✔

¹See Generative AI on Vertex AI locations for regions where the Generative AI on Vertex AI meets at-rest commitments.

²CMEK for Gemini 1.0 Pro tuning is only supported in us-east1 and europe-west4.

Learn more

Learn more about data residency by expanding General Service Terms and reading 1. Data Location.
Learn more about Vertex AI security controls.