Google DeepMind AI Vendor Risk Profile
Google's unified AI research lab combining DeepMind and Google Brain, building the Gemini model family integrated across Google products and cloud services.
Risk overview
Risk score: 19/100
Risk tier: Low
Safety rating: 81/100 (higher is better)
Lower risk scores indicate lower assessed risk.
Last verified: Apr 19, 2026 Aging
Risk dimensions
| Dimension | Risk score |
|---|---|
| Data Handling | 34/100 |
| IP Exposure | 17/100 |
| Jurisdiction | 13/100 |
| Security | 18/100 |
| Regulatory Compliance | 10/100 |
| Transparency | 10/100 |
| Business Stability | 10/100 |
| Dependency Chain | Not assessed |
| Agent Governance | Not assessed |
Analyst summary
Rating: Recommended
Google's Gemini family on Vertex AI benefits from Google Cloud's mature compliance posture (FedRAMP High, HIPAA, full ISO stack) and strong enterprise data isolation. The consumer Gemini app is a materially different risk profile, and concentration within a single hyperscaler remains a standard trade-off.
Bottom line: A strong enterprise choice on Vertex AI; treat the consumer app as a separate, weaker tier.
Strengths
- Vertex AI delivers enterprise-grade data isolation with contractual no-training by default
- Full compliance stack: SOC 2 Type II, ISO 27001, FedRAMP High (GovCloud), HIPAA BAA
- Two-layer IP indemnification covers both training data and generated output claims
- Integrated with existing Google Workspace and Google Cloud tenants for most enterprises
Concerns
- Consumer Gemini app and Gemini Apps Activity retain conversations by default
- EU regulatory scrutiny of Google (antitrust, Digital Markets Act) creates operational uncertainty
- Vendor lock-in to GCP for deep Vertex integrations
Best for
- Enterprises already on Google Workspace or GCP wanting native integration
- Public sector workloads requiring FedRAMP High authorization
- Healthcare and life sciences needing HIPAA BAA with multimodal capabilities
Avoid if
- You need to avoid any single-hyperscaler dependency
- You are using the consumer Gemini app for anything confidential
Citations
- Data Handling — Data Retention Period
When Gemini Apps Activity is off, your conversations are not reviewed by humans and are retained for up to 72 hours to provide the service.
- Data Handling — Outputs Feed Model Improvement
Google will not use Customer Data to train or fine-tune any AI/ML models without Customer's prior permission or instruction.
- Data Handling — Trains On User Data
Google does not use prompts or responses from Vertex AI generative AI services to train, retrain, or fine-tune its foundation models.
- Ip Profiles — Copyright Shield Program
Google will defend and indemnify customers for allegations that Google's use of training data or Google-generated output infringes a third-party IP right.
- Ip Profiles — Indemnification Offered
Google Cloud is offering a two-pronged approach to protect Google Cloud customers from claims that our training data or generative output violates intellectual property rights.
- Jurisdiction Profiles — Incorporation Country
Alphabet Inc. is a Delaware corporation; Google DeepMind operates as a division with research centers in London, Mountain View, and other locations.
- Security Compliance — Fedramp Authorized
Google Cloud holds FedRAMP High authorization for its Assured Workloads environment, with Vertex AI at FedRAMP Moderate.
- Security Compliance — Hipaa Compliant
Google Cloud supports HIPAA compliance and offers a BAA covering Vertex AI and Gemini API in Vertex AI.
- Security Compliance — Iso 27001
Google Cloud is ISO/IEC 27001 certified, with Vertex AI within the scope of certification.
- Security Compliance — Soc2 Type2
Google Cloud and Vertex AI are covered by SOC 2 Type II reports available under NDA via the Compliance Reports Manager.