AgentenCode evidence profileEnterprise
✓ Editorially reviewedChecked: October 3, 2026
Agent profile · Enterprise
ChatGPT dots
ChatGPT dots is classified by AgentenCode as an always-on personal agent from OpenAI. It belongs to the Enterprise & Productivity 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.
ECOSYSTEM ASSOCIATION
This agent profile links to a curated provider view. Security controls are not inherited across products.
Enterpriseeditorial classification
OpenAIprovider
3 primary sourcessource status
October 3, 2026last verification
AgentenTrust 2.0 · EU & governance evidence
Trust, privacy and control evidence for ChatGPT dots
Direct answer: AgentenCode currently documents 6 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.
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
Yes — documentedGovernance · Custom roles
Enterprise dots access can be assigned through custom roles.
Scope: chatgpt_enterprise_dots_access · verified 2026-10-03 · Primary source ↗High confidence
Yes — documentedGovernance · Human approval
Dots support explicit action rules with approval and handoff behaviors.
Scope: chatgpt_dots_actions · verified 2026-10-03 · Primary source ↗High confidence
Yes — documentedGovernance · RBAC
OpenAI documents role- and group-based permission assignment for dots in Enterprise.
Scope: chatgpt_enterprise_dots_access · verified 2026-10-03 · Primary source ↗High confidence
Yes — documentedIdentity · Agent Identity
Dots can have their own identity in supported messaging channels.
Scope: chatgpt_dots_supported_messaging_channels · verified 2026-10-03 · Primary source ↗High confidence
No — explicitly documentedPrivacy · Training · Customer Data
For Business, Enterprise and Edu workspaces, dot data is documented as not used for model training by default.
Scope: chatgpt_business_enterprise_edu_dots · verified 2026-10-03 · Primary source ↗High confidence
encryptedSecurity · Encryption · At rest
OpenAI documents encryption of dot content while stored; no algorithm is asserted here.
Scope: chatgpt_dots_content · verified 2026-10-03 · Primary source ↗High confidence
encryptedSecurity · Encryption · In transit
OpenAI documents encryption of dot content in transit; no protocol version is asserted here.
Scope: chatgpt_dots_content · verified 2026-10-03 · Primary source ↗Evidence-backed overview
What is ChatGPT dots?
ChatGPT dots is classified by AgentenCode as an always-on personal agent from OpenAI. It belongs to the Enterprise & Productivity 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.
Product-specific evidence for ChatGPT dots
This profile links 3 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 Enterprise & Produktivität.
Kundendaten für Training
No · Scope: chatgpt_business_enterprise_edu_dots · verified 2026-10-03.
Primary source ↗Verschlüsselung at rest
encrypted · Scope: chatgpt_dots_content · verified 2026-10-03.
Primary source ↗Verschlüsselung in transit
encrypted · Scope: chatgpt_dots_content · verified 2026-10-03.
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.
3primary sources
7field-level evidence claims
6documented trust controls
1history 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
ChatGPT dots is documented under Enterprise and is associated with OpenAI. 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 3, 2026.
Trust coverage
6 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 ChatGPT dots
ChatGPT dots is classified as Always-on Agent / persönlicher Daueragent from OpenAI. 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.
Laufende Aufgaben und Monitoring
This use case is part of the stored profile for ChatGPT dots. The related strength is “Arbeitet zwischen Unterhaltungen weiter”. In a production evaluation, the practical boundary to verify is: Regionale und tarifliche Verfügbarkeit vor Einsatz prüfen.
Proaktive Recherche über verbundene Apps
This use case is part of the stored profile for ChatGPT dots. The related strength is “Eigener Cloud-Computer”. In a production evaluation, the practical boundary to verify is: Plugin- und Computerrechte nach Least-Privilege begrenzen.
Geplante und wiederkehrende Aufgaben
This use case is part of the stored profile for ChatGPT dots. The related strength is “Memory und proaktive Recherche”. In a production evaluation, the practical boundary to verify is: Memory, verbundene Apps und Datenweitergabe bewusst konfigurieren.
Mehrstufige Arbeit mit Cloud-Computer
This use case is part of the stored profile for ChatGPT dots. The related strength is “Feingranulare Action Rules und Freigaben”. In a production evaluation, the practical boundary to verify is: Konsequente Aktionen über Custom Rules und Freigaben absichern.
What to verify before adoption
- Regionale und tarifliche Verfügbarkeit vor Einsatz prüfen. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
- Plugin- und Computerrechte nach Least-Privilege begrenzen. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
- Memory, verbundene Apps und Datenweitergabe bewusst konfigurieren. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
- Konsequente Aktionen über Custom Rules und Freigaben absichern. 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 3, 2026 · New profile
Official sources
This profile links 3 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.
- OpenAI Help – Getting started with your dot
- OpenAI Help – Dots privacy, security, and safety FAQs
- OpenAI Help – Manage dots in ChatGPT workspaces
Frequently asked questions
What is ChatGPT dots?
ChatGPT dots is listed by AgentenCode as an enterprise agent or agentic product from OpenAI.
How much trust evidence is documented for ChatGPT dots?
The current trust layer documents 6 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 3, 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.