Runtime placement
Identify the private host, network, and storage boundary where managed runtimes operate.
Private deployment
Our compliance team requires AI agents to run on our own infrastructure. What are our options?
Choose a private cloud or data-center operating boundary where your team controls runtime placement, storage, credentials, logs, network decisions, and release procedures. Bewize positions Hermes Hub for managed Hermes Agent runtimes in company-controlled environments, while specific compliance conclusions must be evaluated against your own requirements.
Evaluate the deployment boundary
Infrastructure ownership is only one part of an enterprise review. Map the operating controls your team must verify.
Tenant separation
Define how identity, workspaces, credentials, storage, and access state are separated.
Release ownership
Document how releases, restarts, migrations, checkpoints, and rollback are handled.
Evidence
Specify the run history, usage, access, and verification evidence operations will inspect.
Build the evaluation path
Private AI agent deployment FAQ
Does private deployment automatically satisfy compliance?
No. Private placement can support an organization’s control requirements, but compliance depends on the complete architecture, procedures, evidence, and applicable obligations.
Does running agents privately require hosting a private LLM?
Not necessarily. Runtime and control-plane placement are separate from model-hosting choice; model architecture should be evaluated as its own decision.
What should be documented first?
Document host placement, tenant boundaries, credentials, storage, network decisions, release procedures, access controls, logs, and rollback ownership.