Archon + Azure

Archon connects a managed AI workforce to Azure through Microsoft Entra identity. Agents handle cloud, identity, storage, azure openai, private deployment, with scoped by service access governed by approval queues and audit logs inside your security perimeter.

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Developer & Cloud

What Archon runs on Azure.

Engineering teams use this connector to automate the toil around shipping: agents watch pipelines, summarize incidents, file and update issues, and keep deployment context flowing to the right people.

Cloud

Identity

Storage

Azure OpenAI

Private deployment

Secure operating layer

Governed access, by default.

Infrastructure access uses least-privilege service identities. Read and notify paths run freely; anything that mutates infrastructure requires human approval.

01

Scoped credentials

Connection through Microsoft Entra identity, limited to the data and actions the approved workflow requires. Credentials stay inside your perimeter.

02

Human approval gates

Consequential actions wait in your approval queue. Nothing irreversible ships without a named human decision.

03

Audit everything

Every Azure action an agent takes is logged with source, prompt path, and reviewer, ready for your security team.

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FAQ

Azure questions.

How does Archon authenticate with Azure?+
Through Microsoft Entra identity, with scoped credentials managed inside your security perimeter. Agents receive only the permissions the approved workflow requires, and credentials never leave your deployment boundary.
Can Archon agents write back to Azure?+
Access is scoped by service. Write actions route through human approval queues, audit logs, dry-run validation, and rollback paths before they touch production data.
What does Archon typically run on Azure?+
Cloud, identity, storage, Azure OpenAI, private deployment. Engineering teams use this connector to automate the toil around shipping: agents watch pipelines, summarize incidents, file and update issues, and keep deployment context flowing to the right people.

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Put Azure to work with an AI workforce.

Bring the workflow and the system owner. We will map the connector, the controls, and the first production deployment.

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