Enterprise AI Platforms

Hybrid AI: What Stays Private?

Route classified AI workloads across private and approved cloud zones while controlling egress, operations and telemetry separately.

Reference architecture - illustrative, not a client deployment

Show that data location, operational control and sovereignty are different dimensions.

Complexity
Advanced
Drawing
Supplied
  • Hybrid AI
  • Sovereignty
  • Data Residency
  • Private Inference

Overview

This reference architecture is illustrative. It is not a record of a client deployment.

Data location, residency, confidentiality, operational control and technological independence are related but distinct. Placing a model on premises does not by itself satisfy every sovereignty or compliance requirement. Start with documented obligations and deterministic data classifications, then map each class to routing, egress, identity, key, operator-access and audit controls.

A request reaches a policy boundary before inference. Restricted workloads stay on a private endpoint and can use authorized local sources. A cloud-eligible workload passes through an egress allowlist and payload minimization before an approved cloud endpoint. The policy is not delegated to the LLM. Responses return across the appropriate boundary, and telemetry is governed like prompt data because traces can contain sensitive context.

A concrete example

A case worker summarizes records classified as restricted. The request and local evidence go only to the private endpoint. If that endpoint is unavailable, the system reports safe unavailability; it does not reinterpret the outage as permission to use the public cloud. A separate request containing approved public guidance may be minimized and routed to the authorized cloud endpoint.

Common misconception

"On premises means sovereign." Physical placement answers only part of the question. Model updates, management-plane access, encryption keys, support operations, logs and legal jurisdiction also require explicit controls and evidence.

Diagram & Walkthrough

Choose a declared scenario and step, or select a component by pointer, touch or keyboard. Playback starts only when you press Play and pauses when this panel leaves the screen.

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Hybrid AI: What Stays Private? Deterministic policy classifies workloads before routing them to a private endpoint or through an egress minimization boundary to an approved cloud endpoint. Local placement, data residency and operational sovereignty remain distinct control dimensions. Hybrid AI: What Stays Private? Data location, operational control and sovereignty are different dimensions. LOCAL OR PRIVATE ZONE ROUTING BOUNDARY APPROVED PUBLIC-CLOUD ZONE Request + dataclassification Routing policy Restricted workload Local authorized context Permitted cloud workload Allowed minimizedpayload Private result Approved cloud result Cloud egressdenied No permittedfallback Controlled telemetry Enterprise application EXTERNAL Residency +operational controls HUMAN OWNERSHIP Deterministic data policy CLASSIFY BEFORE ROUTING Sensitive localsources DATA Private inferenceendpoint MODEL Egress allowlist+ minimization EXPLICIT BOUNDARY Approved cloud inference MODEL · PERMITTED WORKLOADS Response or safeunavailability EXPLICIT OUTCOME Controlled local telemetry DATA SOVEREIGNTY CHECKLIST Data plane: storage, prompts and outputs Management plane: operator access and service control Supply chain: model updates, telemetry and dependencies Local main path Control Feedback Blocked / unavailable On-premises placement alone does not guarantee residency, sovereignty or compliance.

Main walkthrough, step 1 of 6: Apply explicit data policies. idle.

Main walkthrough

The primary path through this reference architecture.

Active parts: Enterprise application, Residency + operational controls, Deterministic data policy

Text walkthrough

This vertical reference remains readable without the interactive controls.

  1. 01Apply explicit data policies

    Combine the request classification with owned residency and operational rules before choosing a route.

    Active parts: Enterprise application, Residency + operational controls, Deterministic data policy

  2. 02Keep sensitive context local

    Route restricted workloads and authorized sensitive sources only to the private inference endpoint.

    Active parts: Deterministic data policy, Sensitive local sources, Private inference endpoint

  3. 03Check permitted cloud egress

    Send a cloud-eligible request through destination allowlisting and payload minimization before inference.

    Active parts: Deterministic data policy, Egress allowlist + minimization, Approved cloud inference

  4. 04Return results through the correct boundary

    Return either the private result or the result from the explicitly approved cloud route.

    Active parts: Private inference endpoint, Approved cloud inference, Response or safe unavailability

  5. 05Fail safely when policy prevents fallback

    Return safe unavailability when egress is denied or private inference is unavailable without an authorized fallback.

    Active parts: Egress allowlist + minimization, Private inference endpoint, Response or safe unavailability

  6. 06Control telemetry as well as prompts

    Keep redacted outcome and operational data inside its approved local telemetry boundary.

    Active parts: Response or safe unavailability, Controlled local telemetry

Connections

  • Request + data classificationEnterprise application to Deterministic data policydata
  • Routing policyResidency + operational controls to Deterministic data policycontrol
  • Restricted workloadDeterministic data policy to Private inference endpointcontrol
  • Local authorized contextSensitive local sources to Private inference endpointdata
  • Permitted cloud workloadDeterministic data policy to Egress allowlist + minimizationcontrol
  • Allowed minimized payloadEgress allowlist + minimization to Approved cloud inferencedata
  • Private resultPrivate inference endpoint to Response or safe unavailabilitydata
  • Approved cloud resultApproved cloud inference to Response or safe unavailabilitydata
  • Cloud egress deniedEgress allowlist + minimization to Response or safe unavailabilitycontrol
  • No permitted fallbackPrivate inference endpoint to Response or safe unavailabilitycontrol
  • Controlled telemetryResponse or safe unavailability to Controlled local telemetryfeedback

Components

Enterprise applicationexternal

Submits an AI request with trusted business context and an applicable data classification.

Responsibilities

  • Provide the request and classification inputs without choosing its own route

Inputs

  • User task
  • Enterprise identity and data context

Outputs

  • Request and data classification

Risks

  • Missing classification
  • Sensitive content hidden in attachments
Deterministic data policydeterministic

Maps trusted classifications and routing rules to a private route or an egress review.

Responsibilities

  • Enforce workload placement without delegating permission to an LLM

Inputs

  • Request classification
  • Routing policy

Outputs

  • Restricted private route
  • Permitted cloud-workload route

Risks

  • Misclassification
  • Policy gaps during mixed-data requests
Sensitive local sourcesdata

Keeps classified source context within the approved local or private boundary.

Responsibilities

  • Provide authorized local evidence under local access controls

Inputs

  • Sensitive governed sources
  • Local permissions

Outputs

  • Local authorized context

Risks

  • Stale permissions
  • Unmanaged local replicas
Private inference endpointmodel

Processes restricted workloads and local context within the designated private environment.

Responsibilities

  • Serve the approved private model without external inference calls

Inputs

  • Restricted request
  • Local authorized context

Outputs

  • Private inference result

Risks

  • Capacity outage
  • Model and patch lifecycle burden
Egress allowlist + minimizationdeterministic

Checks destination and payload fields, removing unnecessary data before an allowed cloud call.

Responsibilities

  • Permit only approved destinations and minimized payloads

Inputs

  • Cloud-eligible request
  • Egress policy

Outputs

  • Allowed minimized payload
  • Egress denial

Risks

  • Sensitive data left in payload
  • Minimization removes required context
Approved cloud inferencemodel

Runs only cloud-eligible requests on an approved provider, region and model deployment.

Responsibilities

  • Process the minimized payload under contracted controls

Inputs

  • Allowed minimized payload

Outputs

  • Approved cloud result

Risks

  • Provider or regional outage
  • Service terms or model version change
Response or safe unavailabilityexternal

Returns the result from the permitted boundary or an explicit unavailable response when policy blocks processing.

Responsibilities

  • Never disguise a prohibited fallback as successful processing

Inputs

  • Private result
  • Cloud result
  • Policy denial or outage

Outputs

  • Enterprise application response

Risks

  • Ambiguous failure messages
  • Mixing results across boundaries
Controlled local telemetrydata

Collects minimized operational records inside the approved telemetry boundary.

Responsibilities

  • Control log content, access, retention and export

Inputs

  • Response outcome
  • Redacted operational metadata

Outputs

  • Local traces and audit evidence

Risks

  • Prompts copied into logs
  • Telemetry exported through an undeclared path
Residency + operational controlshuman

Translates legal, contractual and internal obligations into owned routing and operational rules.

Responsibilities

  • Define data, operator, key, management-plane and availability requirements

Inputs

  • Sovereignty obligations
  • Risk decisions
  • Service evidence

Outputs

  • Routing policy
  • Control ownership

Risks

  • Equating location with compliance
  • Requirements without enforceable controls

Scenario reference

Restricted data stays local

Do not draw an implicit external model call for local-only data.

  1. 01Serve entirely inside the private zone

    The classified request combines only with local authorized context, returns a private result and records local telemetry.

    Active parts: Deterministic data policy, Sensitive local sources, Private inference endpoint, Response or safe unavailability, Controlled local telemetry

Blocked cloud fallback

An unavailable local model does not authorize cloud egress.

  1. 01Return safe unavailability

    A restricted request reaches the private route, but a local outage returns a controlled failure and local trace rather than a cloud call.

    Active parts: Deterministic data policy, Private inference endpoint, Response or safe unavailability, Controlled local telemetry

Design Decisions

  • Translate legal, contractual and internal obligations into explicit workload classes.
  • Enforce routing and egress with deterministic policy and deny by default.
  • Govern prompts, embeddings, outputs, traces and model artifacts as separate data types.
  • Define availability behavior for every class before an outage occurs.

Risks & Trade-offs

Private serving increases operational responsibility and can reduce model choice or elasticity. Classification errors can send data across the wrong boundary. Cloud minimization may remove context needed for quality. Local telemetry and management channels can become undeclared egress paths.

When to Use / Not Use

Use hybrid routing when workload classes genuinely require different placement or operational controls. Do not introduce it as a symbolic compliance measure, or when one approved environment satisfies all documented requirements. Do not provide a cloud fallback for a class whose policy forbids cloud processing.

Sources