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AgentenCode evidence profileCoding

✓ Editorially reviewedChecked: October 1, 2026

Agent profile · Coding

OpenAI Codex

OpenAI Codex is classified by AgentenCode as a coding agent from OpenAI. It belongs to the Coding 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.

OpenAICodingDevelopers & teams

View profile ↓Check sources ↓

ECOSYSTEM ASSOCIATION

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

OpenAI · ChatGPT & Codex ↗

Codingeditorial classification

OpenAIprovider

7 primary sourcessource status

October 1, 2026last verification

AgentenTrust 2.0 · EU & governance evidence

Trust, privacy and control evidence for OpenAI Codex

Direct answer: AgentenCode currently documents 12 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 & data1 of 8 documentedResidency, training, retention, DPA, subprocessors and processing scope.

Security contextSecurity & access7 of 10 documentedEncryption, SSO, SCIM, RBAC, roles and credential handling.

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

TraceabilityAudit & traceability4 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

Governance · Audit logs · API

Yes — documented

Compliance API access is documented in the enterprise feature matrix.

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

High confidence

Governance · Audit logs · Available

Yes — documented

Enterprise/Edu audit logs are documented in the Codex/ChatGPT feature matrix.

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

High confidence

Governance · Audit logs · Retention days

The documented Compliance Logs Platform retention window is 30 days.

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

High confidence

Governance · Audit logs · SIEM export

Yes — documented

Codex workspace audit data can be exported into SIEM/data-lake workflows through the compliance interfaces.

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

High confidence

Governance · Custom roles

Yes — documented

Custom roles are documented.

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

High confidence

Governance · RBAC

Yes — documented

RBAC is documented for Enterprise.

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

High confidence

Governance · SCIM

Yes — documented

SCIM provisioning is documented.

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

High confidence

Governance · SSO · Saml

Yes — documented

SAML SSO is documented for managed ChatGPT/Codex workspaces.

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

High confidence

Hosting · Cloud

Yes — documented

Codex Cloud is documented.

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

High confidence

Hosting · Local

Yes — documented

Codex also has local execution surfaces.

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

High confidence

Privacy · Data residency · Available

Yes — documented

Enterprise residency controls are documented.

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

High confidence

Protocols · Mcp · Client

Yes — documented

Codex can act as an MCP client.

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

High confidence

Security · Customer-managed keys

Yes — documented

Customer-managed encryption keys are available through OpenAI Enterprise Key Management where supported.

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

High confidence

Security · Encryption · At rest

AES-256

Codex under ChatGPT Enterprise inherits the documented enterprise encryption controls.

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

High confidence

Security · Encryption · In transit

TLS 1.2+

Codex under ChatGPT Enterprise inherits the documented enterprise transport encryption controls.

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

Evidence-backed overview

What is OpenAI Codex?

Product-specific evidence for OpenAI Codex

This profile links 7 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 Coding.

Data Residency

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

Primary source ↗

Customer-Managed Keys

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

Primary source ↗

Verschlüsselung at rest

AES-256 · Scope: chatgpt_enterprise_including_codex · verified 2026-10-01.

Primary source ↗

Verschlüsselung in transit

TLS 1.2+ · Scope: chatgpt_enterprise_including_codex · verified 2026-10-01.

Primary source ↗

Audit Log API

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

Primary source ↗

Audit Logs

Yes · Scope: enterprise_and_edu · 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.

1primary source

15field-level evidence claims

12documented 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

OpenAI Codex is documented under Coding 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 1, 2026.

Trust coverage

12 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 OpenAI Codex

OpenAI Codex is classified as Coding-Agent 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.

Features implementieren

This use case is part of the stored profile for OpenAI Codex. The related strength is “Mehrstufige Softwareaufgaben”. In a production evaluation, the practical boundary to verify is: Codeänderungen vor Merge überprüfen.

Bugs beheben

This use case is part of the stored profile for OpenAI Codex. The related strength is “Arbeit mit bestehenden Repositories”. In a production evaluation, the practical boundary to verify is: Secrets und produktive Zugangsdaten schützen.

Code verstehen

This use case is part of the stored profile for OpenAI Codex. The related strength is “Editor- und Terminalnähe”. In a production evaluation, the practical boundary to verify is: Tests und Security-Checks nicht überspringen.

Tests und Refactoring

This use case is part of the stored profile for OpenAI Codex. The related strength is “Delegierbare Aufgaben”. In a production evaluation, the practical boundary to verify is: Codeänderungen vor Merge überprüfen.

What to verify before adoption

Codeänderungen vor Merge überprüfen. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
Secrets und produktive Zugangsdaten schützen. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
Tests und Security-Checks nicht überspringen. 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 7 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 OpenAI Codex?

OpenAI Codex is listed by AgentenCode as a coding agent or agentic product from OpenAI.

How much trust evidence is documented for OpenAI Codex?

The current trust layer documents 12 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.