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AgentenCode evidence profileResearch

✓ Editorially reviewedChecked: October 1, 2026

Agent profile · Research

Gemini Deep Research

Gemini Deep Research is classified by AgentenCode as an integrated research agent from Google. It belongs to the Research category. This English profile does not maintain a separate factual record: it renders the same underlying evidence, trust and history data as the German profile.

GoogleResearchIndividuals & businesses

View profile ↓Check sources ↓

ECOSYSTEM ASSOCIATION

This agent profile links to a curated provider view. Security controls are not inherited across products.

Google · Gemini & Entwickleragenten ↗

Researcheditorial classification

Googleprovider

5 primary sourcessource status

October 1, 2026last verification

AgentenTrust 2.0 · EU & governance evidence

Trust, privacy and control evidence for Gemini Deep Research

Direct answer: AgentenCode currently documents 1 of 36 normalized trust controls for this profile. Missing fields remain Unknown and are never automatically interpreted as “no”.

EU AI ActEvidence context only. AgentenCode does not infer legal applicability or compliance from individual product controls.

GDPRPrivacy and security signals are documented field by field. Data residency alone is not a compliance or transfer assessment.

Privacy contextPrivacy & data0 of 8 documentedResidency, training, retention, DPA, subprocessors and processing scope.

Security contextSecurity & access1 of 10 documentedEncryption, SSO, SCIM, RBAC, roles and credential handling.

Human controlHuman control0 of 10 documentedApproval, oversight, permissions and stop or rollback controls.

TraceabilityAudit & traceability0 of 8 documentedAudit logs, APIs, SIEM, observability, tracing and activity history.

Important: these numbers show evidence coverage, not a product rating. 0 of 10 means that no field-level public evidence is stored for those ten controls in the current dataset. It does not mean the product lacks those capabilities.

Field-level evidence

Documented controls and values from primary sources.

Documented yesDocumented valueUnknown remains unknown

High confidence

Hosting · Managed

Yes — documented

Gemini Deep Research is delivered as a Google-managed Gemini Apps service.

Scope: gemini_apps_deep_research · verified 2026-10-01 · Primary source ↗

High confidence

Security · Soc2 Type2

Yes — documented

For Workspace deployments where Gemini Apps is a core service, Deep Research is covered by the Workspace service security/compliance posture that includes SOC 2.

Scope: gemini_deep_research_workspace_core_service · verified 2026-10-01 · Primary source ↗

Evidence-backed overview

What is Gemini Deep Research?

Product-specific evidence for Gemini Deep Research

This profile links 5 unique primary sources across the product profile, field-level evidence, trust controls and documented relations. The points below describe this product’s stored evidence rather than generic characteristics of Recherche.

SOC 2 Type 2

Yes · Scope: gemini_deep_research_workspace_core_service · verified 2026-10-01.

Primary source ↗

hosting · managed

Yes · Scope: gemini_apps_deep_research · verified 2026-10-01.

Primary source ↗

AgentenCode treats this page as a reference profile rather than a ranking. Product facts are separated from editorial classification, and the profile is tied to a specific verification date. If a capability is not backed by sufficiently precise public evidence, it remains unknown instead of being inferred from marketing language or from similar products.

2primary sources

2field-level evidence claims

1documented trust controls

3history events

How to read the evidence

The field-level evidence layer records a value, a scope, a confidence level, a verification date and one or more primary sources. Scope matters: an enterprise-only security feature must not be generalized to every plan or deployment surface. The same rule applies to hosting, privacy, audit and protocol claims.

AgentenCode also keeps Unknown distinct from false. A missing claim means the public dataset does not currently contain sufficiently precise evidence for that field. A negative value is used only when a reliable primary source explicitly documents a restriction or non-availability.

Decision context

Provider and category

Gemini Deep Research is documented under Research and is associated with Google. Category labels help navigation but do not replace product-specific evidence.

Verification status

The public profile is marked editorially reviewed and was last checked on October 1, 2026.

Trust coverage

1 of 36 normalized trust controls currently have field-level public evidence. The remaining controls are not treated as negative findings.

Source-first use

For procurement, security or legal decisions, use the linked primary sources and verify the plan, region and configuration that apply to your organization.

Capabilities, strengths and deployment checks for Gemini Deep Research

Gemini Deep Research is classified as Integrierter Recherche-Agent from Google. The profile’s editorial layer is derived from the stored use cases, strengths and checks below; claims about security, privacy or governance remain separate and require field-level evidence.

Reiseplanung

This use case is part of the stored profile for Gemini Deep Research. The related strength is “Google Search als zentrale Webquelle”. In a production evaluation, the practical boundary to verify is: Verbundene Datenquellen nur mit passenden Berechtigungen verwenden.

Kaufrecherche

This use case is part of the stored profile for Gemini Deep Research. The related strength is “Verbindung mit Google-Diensten möglich”. In a production evaluation, the practical boundary to verify is: Plan- und regionsabhängige Funktionen prüfen.

Lernen

This use case is part of the stored profile for Gemini Deep Research. The related strength is “Rechercheplan und strukturierte Berichte”. In a production evaluation, the practical boundary to verify is: Quellen vor wichtigen Entscheidungen öffnen.

Recherche mit eigenen Unterlagen

This use case is part of the stored profile for Gemini Deep Research. The related strength is “Export in Google-Umgebungen möglich”. In a production evaluation, the practical boundary to verify is: Verbundene Datenquellen nur mit passenden Berechtigungen verwenden.

What to verify before adoption

Verbundene Datenquellen nur mit passenden Berechtigungen verwenden. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
Plan- und regionsabhängige Funktionen prüfen. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
Quellen vor wichtigen Entscheidungen öffnen. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.

Editorial boundary: The use-case and strength descriptions are product-specific editorial context based on the stored profile. Trust, privacy and governance statements are only presented as facts when field-level primary-source evidence exists.

Verified history

The public history layer records only confirmed profile changes and verification events. Monitoring signals are not published as product facts until they have been reviewed.

October 1, 2026 · Source Maintenance
September 30, 2026 · Verification Update
September 28, 2026 · Schema Upgrade

Official sources

This profile links 5 unique primary sources across the product profile, field-level evidence, trust layer and documented relations. Provider documentation remains authoritative when the product changes between verification cycles.

Frequently asked questions

What is Gemini Deep Research?

Gemini Deep Research is listed by AgentenCode as a research agent or agentic product from Google.

How much trust evidence is documented for Gemini Deep Research?

The current trust layer documents 1 of 36 normalized controls. Missing controls remain unknown rather than being treated as false.

When was this profile last checked?

The current profile verification date is October 1, 2026. The linked primary sources remain authoritative if the product changes between checks.

Method note: AgentenCode does not certify GDPR or EU AI Act compliance. It documents evidence that can support a separate legal, security or procurement assessment.