A Private Model Endpoint
Is Not A Private Application
Use private, on-premises, colocated, dedicated hosted, public-cloud, or hybrid execution routes inside the same governed application.
Whether an application is private depends on the whole application path - the data retrieved, the context assembled, the capabilities invoked, the state persisted, and the evidence retained - not only on where a model runs.
Frozion keeps deployment eligibility connected to each workload's identity, tenant, purpose, data classification, region, residency, provider, model, retention, capacity, policy, and evidence requirements.
A private model endpoint does not automatically make the complete application private. The full application path can include source data, retrieval, Context Assembly, feature calculation, prompts or instructions, inference, tool calls, human review, durable state, documents and artifacts, telemetry, evidence storage, and external actions.
Benefit: Govern the complete route rather than treating inference location as the only privacy decision.
Keep private data and private inference distinct
The data path has to satisfy the boundary too
Deployment policy applies to more than model invocation. The AI Data Plane can keep relevant data responsibilities aligned with workload boundary, including operational data, retrieval, Context Assembly, features, knowledge, durable state, cache, memory, documents, provenance, and evidence.
Benefit: Keep the information that shapes a decision within the same governed deployment requirements as the capability using it.
Explore AI Data PlaneTreat fallback as a governed proposition
Fallback is not automatically "try the next provider." A fallback route can change where data is processed, which provider sees it, which model version runs, retention behavior, quality characteristics, latency, cost, evidence requirements, and operational risk.
Frozion can evaluate fallback as a new eligibility decision.
Define resilience per workload, not one universal fallback chain
Different workloads may need different continuity behavior: wait for capacity, use a deterministic capability, use a locally available narrow capability, route to a human, or enter a defined abstention or exception state.
Use one application across private, hosted, public, and hybrid routes
On-premises colocation
Run eligible services in organization-controlled facilities or colocated infrastructure.
Private cloud
Use dedicated or logically private environments for controlled workloads.
Public managed inference
Use approved managed providers when data, region, retention, and policy allow it.
Dedicated hosted
Use infrastructure operated for the organization or workload under a dedicated model.
Hybrid execution
Combine private, hosted, public, deterministic, and human routes in one workflow.
Route models and capabilities through contracts
Provider portability is more useful when the application depends on a capability contract rather than one provider-specific call pattern. The Control Plane can select among eligible capabilities without changing the surrounding business process.
Explore Model & Capability RoutingKeep policy between the workload and the route
Policy can determine whether a workload may use a particular deployment option.
Examples include data classification, residency, provider, retention, consequence, and availability policy.
Data classification policy
Restricted data may require private or specifically approved infrastructure.
Residency policy
A workload may be limited to specific regions or facilities.
Provider policy
Certain providers may be eligible only for particular tenants, workloads, or data classes.
Retention policy
A route may be excluded if retention conflicts with the application requirement.
Consequence policy
Higher-consequence decisions may require stronger routing and evidence.
Availability policy
The application may define what happens when preferred capacity is unavailable.
Benefit: Make deployment control part of the same policy architecture that governs data, capabilities, people, and effects.
Explore Policy & Governance by ConstructionKeep deterministic-first routes available
Private infrastructure introduces capacity and operating constraints. Some work can continue through exact query, deterministic calculation, rules, retrieval, feature computation, local specialized models, cached eligible results, and human judgment.
Give every workload a Deployment Profile
A workload profile can consider application, tenant, identity, purpose, data classification, taxonomy, region, residency, provider, model, retention, network, latency, capacity, resilience, consequence, and evidence requirements.
See hybrid deployment in one business process
Consider the supplier bank-account-change application used throughout the website.
The application may run in the normal enterprise environment while supplier and case data remain governed by tenant and application scope.
Sensitive documents can be routed only to eligible retrieval, extraction, and analysis services according to classification and residency requirements.
Validation, account-format rules, feature calculations, and policy checks can execute without requiring a large model.
A sensitive risk-analysis step can use private, colocated, on-premises, private-cloud, or dedicated-hosted routes.
Lower-sensitivity work may use an approved public managed model if policy constraints permit that route.
The completed history can show which deployment route participated in each governed step.
Result: The application uses infrastructure according to the workload without splitting into separate private and public versions of the business process.
Explore Private & Hybrid AI
Identity & Security
Carry subject, workload, tenant, purpose, scope, and policy across deployment boundaries.
Explore Identity & SecurityAI Control Plane
Select and govern eligible capabilities and routes inside the Execution Graph.
Explore AI Control PlaneAI Data Plane
Keep operational data, context, knowledge, state, and evidence inside eligible deployment boundaries.
Explore AI Data Plane