Google Gemini
Vannus has not established which model this vendor runs, and does not infer one. Every finding below is quoted to the vendor’s own document, or marked not disclosed where the vendor publishes nothing.
Google's multimodal AI model with text, image, and code capabilities
Our most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows.
Applies to: Google Workspace business, education and public sector editions (Gemini in Workspace, Gemini app, Gemini Notebook); separately Gemini Enterprise Agent Platform (formerly Vertex AI)
From the Workspace admin privacy hub + Google Cloud data-governance doc: “Workspace does not use customer data for training models without customer's prior permission or instruction.” support.google.com ↗
Training and retention posture varies by plan. The default-plan row above describes the vendor’s free or standard tier; the paid-plan row is quoted from the document linked beside it. A negotiated contract can override either. Check your own agreement before relying on this.
This is a separate question from the grade above. The grade measures resilience — whether the tool endures and whether you could leave it. This describes who controls the vendor. A tool can score modestly on one and strongly on the other, and many do.
On U.S. CLOUD Act reach specifically: the statute reaches a provider subject to U.S. jurisdiction over data in its possession, custody or control. Corporate control is a strong indicator of that and it is what we can evidence from published documents — but it is not the whole test. A company founded outside the U.S. can still contract through a U.S. entity or run substantial U.S. operations. Treat this as a starting point for your own review, not a legal determination, and take advice on anything that matters.
The vendor's published or catalog-recorded posture — the concrete facts this grade is built from. A full audit verifies each against the vendor's current documentation.
Taken from the vendor’s own published material. Vannus does not hold these reports and has not reviewed their scope or dates — ask the vendor for the current report before relying on any of them.
Vannus publishes a nine-dimension trust framework — data sovereignty, training privacy, compliance posture, operational resilience, exit portability, and more. The heaviest criterion asks whether the tool builds its own AI or resells someone else's model; where the vendor discloses it, the grade cites the vendor's own documentation. No paid placements — scoring is walled off from affiliate revenue. See the methodology →