Deployment Models

Control the boundary before deployment begins.

Vidamonti evaluates controlled deployment paths across on-premises, air-gapped, and sovereign cloud environments where infrastructure ownership, connectivity, access, update path, and audit handling must be defined before use.

Controlled deployment models Every deployment conversation starts with the boundary.

Infrastructure, connectivity, access, update handling, and audit posture must be clear before deeper scoping.

Model 01 On premises

Customer controlled infrastructure.

Model 02 Air-gapped

Disconnected operating posture.

Model 03 Sovereign cloud

Jurisdictional cloud boundary.

Plain-language answer


What are AI deployment models?

AI deployment models describe where and how a governed decision support workflow may operate. Vidamonti frames deployment evaluation around operating boundaries such as on-premises infrastructure, air-gapped posture, sovereign cloud boundaries, access control, update paths, and audit handling.

What is on-premises AI deployment evaluation?

On-premises AI deployment evaluation considers whether processing, access, records, support, and governance can remain inside approved customer-controlled infrastructure.

What does air-gapped AI mean in this context?

Air-gapped AI refers to an operating posture where the environment cannot depend on external connectivity during normal operation. Any use must be evaluated against the specific information boundary, update process, and audit requirements.

What is sovereign cloud AI evaluation?

Sovereign cloud AI evaluation considers whether jurisdiction, residency, administration, access control, and governance requirements can be satisfied inside an approved cloud boundary.

Does this page certify deployment security?

No. Public website content describes deployment evaluation concepts. It does not create a security certification, security guarantee, procurement approval, or implementation commitment.

Deployment logic

Infrastructure is not a detail. It defines the operating model.

Deployment determines who controls access, where data remains, how updates are introduced, how audit records are handled, and what must be accepted before operational use.

Boundary 01

Infrastructure owner must be explicit.

Ownership affects access control, administrative authority, operating responsibility, and support boundaries.

Boundary 02

Data movement must be scoped before evaluation.

Source handling, residency, transfer, export, retention, and audit access must be defined before deeper review.

Boundary 03

Update process must match the environment.

Update handling, patch process, model refresh, configuration changes, and approval steps depend on deployment posture.

Boundary 04

Audit handling must support assurance review.

Records, review states, operator actions, exceptions, and configuration changes need a reviewable path.

Deployment fit matrix

Choose the deployment model by constraint, not preference.

The model is determined by hard constraints: who owns the environment, whether connectivity is allowed, where records remain, how change is approved, and who can support the system.

Model 01

On-premises

Best when the operating environment, administration, processing, and audit handling must remain inside customer-controlled infrastructure.

Customer controlled boundary
Model 02

Air-gapped

Best when normal operation cannot depend on external connectivity and transfer, update, and audit procedures must be tightly controlled.

Disconnected posture
Model 03

Sovereign cloud

Best when cloud operation is acceptable but residency, administration, access, governance, and evidence handling must remain inside an approved boundary.

Jurisdictional cloud boundary
Signal 01 Infrastructure owner

Who controls the environment, administrator path, operating responsibility, and change authority?

Signal 02 Connectivity posture

Can the workflow depend on external services, or must operation remain restricted or disconnected?

Signal 03 Information boundary

Where do inputs, outputs, records, exports, retained data, and audit materials remain?

Signal 04 Update path

How are patches, model updates, configuration changes, approvals, and acceptance tests introduced?

Signal 05 Support access

Who can administer, maintain, troubleshoot, review, export, or modify the system?

Signal 06 Audit handling

How do decisions, exceptions, operator actions, gate outcomes, and configuration changes remain reviewable?

Deployment discipline

Fit is proven by constraints, not preference.

The right model is the one that can preserve authority, boundary, update control, support limits, and audit access under the organization’s real operating conditions.

Acceptance discipline

Only the unresolved constraints matter.

A useful briefing should surface the conditions that determine deployment fit: ownership, record location, change approval, and access authority. Everything else can wait until the boundary is clear.

Check 01

Who owns the environment and administrator path?

Check 02

Where do inputs, outputs, records, and exports remain?

Check 03

How are updates and configuration changes approved?

Check 04

Who can support, review, export, or modify the system?

Secure Briefing

Clarify the deployment boundary before deeper scoping.

Use a Secure Briefing when infrastructure ownership, connectivity posture, information boundary, update path, support access, audit handling, or acceptance requirements may shape the deployment model.

Public scope note

This page provides public deployment model information only. It is not a deployment claim, certification statement, procurement claim, security guarantee, operational readiness guarantee, customer case study, or implementation commitment. Do not submit classified, sensitive, protected, restricted, export controlled, confidential, procurement sensitive, incident specific, or operationally sensitive information through public pages or public forms.