AI Vendor Packet
IndexableHigh priorityLast reviewed 2026-05-215/5 fresh sources

Google Vertex AI / Gemini for Cloud vendor policy review packet for SaaS teams

This page tracks Google Cloud sources for Vertex AI and Gemini for Cloud review. The main review point is whether a team is using standard Vertex AI data processing, an eligible zero data retention path, or a workflow that stores prompts or responses in customer-controlled Google Cloud resources.

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Vendor category

Cloud AI platform

Typical use

Vertex AI, Gemini API through Google Cloud, model tuning, embeddings, and Cloud-hosted AI workflows.

Common data involved

Prompts, responses, files, embeddings, tuning data, project metadata, feedback, and Google Cloud logs.

Documents monitored

Vertex AI data governance, zero data retention, Google Cloud DPA, terms, and subprocessors.

Last reviewed

2026-05-21

Review priority

High

Source freshness

5/5 sources have recent review dates

What to monitor

AI and data governance policy

Verified source

Use the Vertex AI data governance page for training, retention, and customer data handling statements.

Zero data retention

Verified source

Confirm supported models, endpoints, and feature coverage before promising zero retention.

Google Cloud DPA and terms

Verified source

Tie customer data processing statements to the current Google Cloud contract path.

Subprocessor list

Verified source

Monitor Google Cloud subprocessors before updating a customer-facing subprocessor exhibit.

Retention and logs

Verified source

Separate Google-managed retention from any prompts, outputs, or logs your team stores in Cloud Logging, BigQuery, or application databases.

Review checklist

  • Identify whether the system uses Vertex AI, Gemini API through Google Cloud, or Workspace Gemini.
  • Confirm whether prompts, outputs, logs, or tuning data are stored in your own Google Cloud resources.
  • Check zero data retention eligibility before using that phrase in customer-facing text.
  • Review Google Cloud DPA, terms, and subprocessors before updating vendor records.
  • Link every training or retention claim to a Google Cloud source and a review date.

Customer commitments that may be affected

  • Prompts and responses are not used to train Google models unless a Google source, feature choice, or feedback path says otherwise.
  • A zero data retention statement applies only to eligible Vertex AI generative AI requests and settings.
  • Google Cloud subprocessors are reviewed before customer subprocessor lists are updated.
  • Your own Google Cloud logs or storage do not undermine retention commitments made about the model provider.
  • DPA and Trust Center evidence cites Google Cloud sources rather than Google consumer product policies.

Recent changes

No material public change is asserted beyond this source review. Treat 2026-05-21 as the baseline date for future Google Vertex AI page comparisons.

AI Vendor Packet organizes review packet evidence and review prompts. It does not provide legal advice.

Applicability notes by plan or product

Scope
Vertex AI and Gemini through Google Cloud
Applies to
Product features built on Google Cloud AI services.
Watch for
Check model, endpoint, location, logging, tuning, and feedback settings.
Scope
Zero data retention
Applies to
Supported Vertex AI generative AI requests described by Google.
Watch for
Confirm feature eligibility before using zero retention language in customer answers.
Scope
Google Workspace Gemini
Applies to
Employee productivity use in Workspace.
Watch for
Use Workspace-specific sources instead of Vertex AI sources.

Related pages

Use issue pages for narrower customer review questions.

Google Vertex AI data use review for SaaS customer commitmentsVertex AI data-use answers should cite Google Cloud's Vertex AI data governance source and, where relevant, the separate zero data retention source. The customer answer should name whether the workflow uses Vertex AI, Gemini through Google Cloud, tuning, feedback, or customer-controlled logging.Google Vertex AI subprocessor review for SaaS customer commitmentsFor Vertex AI, subprocessor review should use Google Cloud's subprocessor source and the Google Cloud DPA. A SaaS team should confirm whether its customer-facing vendor list names Google Cloud correctly and whether any stored prompts, outputs, or logs introduce additional subprocessors outside Google.

Source freshness

For packet evidence, critical AI and SaaS vendor sources should show a recent reviewed date. Material vendor notices, Trust Center updates, DPA changes, subprocessor notices, and customer-reported changes should be checked before the packet is reused externally.

All listed source dates are recent for the current packet freshness model.

  • Recent review date: Sources used in a paid packet should have a visible reviewed date and should be rechecked before they are reused for a new customer answer.
  • Urgent-change handling: Material vendor notices, broken source links, DPA updates, subprocessor notices, and customer-reported source changes should be routed to the relevant owner before reuse.
  • Stale-source warning: A source older than 60 days, missing a reviewed date, or failing the latest source check should be marked for review before the packet is reused externally.

Source documents

Each factual vendor claim on this page is tied to official source documents reviewed on 2026-05-21.

Google Cloud Vertex AI data governancehttps://cloud.google.com/vertex-ai/generative-ai/docs/data-governanceLast verified: May 21, 2026 · Registry verifiedFreshVertex AI zero data retentionhttps://docs.cloud.google.com/vertex-ai/generative-ai/docs/vertex-ai-zero-data-retentionLast verified: May 21, 2026 · Registry verifiedFreshGoogle Cloud Data Processing Addendumhttps://cloud.google.com/terms/data-processing-addendumLast verified: May 21, 2026 · Registry verifiedFreshGoogle Cloud Platform Terms of Servicehttps://cloud.google.com/termsLast verified: May 21, 2026 · Registry verifiedFreshGoogle Cloud Platform Subprocessorshttps://cloud.google.com/terms/subprocessorsLast verified: May 21, 2026 · Registry verifiedFresh

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