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AgentenCode evidence profileAutomation

✓ Editorially reviewedChecked: October 1, 2026

Agent profile · Automation

Make AI Agents

Make AI Agents is classified by AgentenCode as a agent platform / builder from Make. It belongs to the Automation 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.

MakeAutomationTeams & Businesses

View profile ↓Check sources ↓

Automationeditorial classification

Makeprovider

7 primary sourcessource status

October 1, 2026last verification

AgentenTrust 2.0 · EU & governance evidence

Trust, privacy and control evidence for Make AI Agents

Direct answer: AgentenCode currently documents 9 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 & 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 & traceability2 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 · Available

Yes — documented

Make Enterprise provides audit logs.

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

High confidence

Governance · Audit logs · Retention days

365

Make Enterprise audit logs are retained for 12 months (365 days).

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

High confidence

Governance · Custom roles

Yes — documented

Make Enterprise supports custom roles.

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

High confidence

Governance · RBAC

Yes — documented

Make Enterprise provides role-based access control.

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

High confidence

Governance · SSO · Oidc

Yes — documented

Make Enterprise supports OIDC SSO.

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

High confidence

Governance · SSO · Saml

Yes — documented

Make Enterprise supports SAML 2.0 SSO.

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

High confidence

Hosting · Managed

Yes — documented

Make AI Agents run within Make's managed cloud platform.

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

High confidence

Protocols · Mcp · Client

Yes — documented

Make AI Agent (New) can act as an MCP client for configured MCP servers.

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

High confidence

Security · Encryption · At rest

AES-256

Make documents AES-256 encryption at rest.

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

High confidence

Security · Encryption · In transit

TLS 1.2/1.3

Make documents TLS 1.2/1.3 encryption in transit.

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

High confidence

Security · Soc2 Type2

Yes — documented

Make documents SOC 2 Type II compliance.

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

Evidence-backed overview

What is Make AI Agents?

Product-specific evidence for Make AI Agents

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 Automatisierung.

Verschlüsselung at rest

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

Primary source ↗

Verschlüsselung in transit

TLS 1.2/1.3 · Scope: make_platform_including_ai_agents · verified 2026-10-01.

Primary source ↗

SOC 2 Type 2

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

Primary source ↗

Audit Logs

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

Primary source ↗

Audit-Log-Aufbewahrung

365 · Scope: make_enterprise_audit_logs · verified 2026-10-01.

Primary source ↗

Custom Roles

Yes · Scope: make_enterprise · 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

11field-level evidence claims

9documented 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

Make AI Agents is documented under Automation and is associated with Make. 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

9 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 Make AI Agents

Make AI Agents is classified as Agentenplattform / Builder from Make. 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.

Business-Automation

This use case is part of the stored profile for Make AI Agents. The related strength is “Visuelle Automationslogik”. In a production evaluation, the practical boundary to verify is: Tool-Berechtigungen begrenzen.

App-übergreifende Aufgaben

This use case is part of the stored profile for Make AI Agents. The related strength is “Großes Integrationsökosystem”. In a production evaluation, the practical boundary to verify is: Kosten durch Agentenläufe beobachten.

Operations

This use case is part of the stored profile for Make AI Agents. The related strength is “Agenten und klassische Workflows kombinierbar”. In a production evaluation, the practical boundary to verify is: Kritische Aktionen mit Freigaben absichern.

Interne Assistenten

This use case is part of the stored profile for Make AI Agents. The related strength is “Nachvollziehbare Tool-Nutzung”. In a production evaluation, the practical boundary to verify is: Tool-Berechtigungen begrenzen.

What to verify before adoption

Tool-Berechtigungen begrenzen. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
Kosten durch Agentenläufe beobachten. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
Kritische Aktionen mit 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 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 Make AI Agents?

Make AI Agents is listed by AgentenCode as an automation agent or agentic product from Make.

How much trust evidence is documented for Make AI Agents?

The current trust layer documents 9 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.