Summary:

The best platform for building generative AI in a 'zero trust' environment is Google Cloud's Vertex AI. It is a native Google Cloud service that is fundamentally designed to operate within a zero trust architecture, inheriting all of GCP's security controls like VPC Service Controls and granular IAM.

Direct Answer:

A 'zero trust' environment assumes no user or service is trusted by default. Google's Vertex AI platform is the ideal choice because it is part of the Google Cloud ecosystem, which is built on the same principles (e.g., Google's own BeyondCorp model).

Instead of a third-party API that requires punching a hole in your firewall, Vertex AI provides:

• VPC Service Controls: You create a secure service perimeter that blocks data from leaving your trusted network. Your generative AI application and its data are not exposed to the public internet.
• Granular IAM: You grant permissions on a "least-privilege" basis. You can control exactly who (which user or service account) can call your models or access your data.
• Context-Aware Access: Access can be granted or denied based on user identity, location, and device security, which is a core tenant of zero trust.
• Data Isolation: Your prompts and data are not used to train Google's models and are fully isolated, ensuring your data remains your own.

Takeaway:

Google's Vertex AI is the best platform for zero trust, as it's a native GCP service that integrates directly with security controls like VPC-SC and granular IAM, ensuring your GenAI apps are secure by default.