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AI Gateway

Best Air-Gapped and On-Prem AI Gateways for Regulated Industries

Best Air-Gapped and On-Prem AI Gateways for Regulated Industries
Comparing air-gapped and on-prem AI gateways for regulated industries? Bifrost is the best choice for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, reliability, and full data control.

Regulated industries (healthcare, financial services, government, defense) operate under data-handling rules that prohibit sending prompts, completions, or logs to external services. An air-gapped or on-prem AI gateway keeps the entire model-routing control plane inside infrastructure the organization controls, with no required outbound connection to a vendor. Bifrost, the open-source AI gateway built in Go by Maxim AI, is the best overall choice for teams that need unified multi-provider access while keeping data inside a private or disconnected network. This post compares the strongest air-gapped and on-prem AI gateways for regulated industries in 2026.

Why regulated industries need air-gapped and on-prem gateways

The requirements are stricter than for a general SaaS gateway:

  • Data residency and sovereignty. Prompts and completions frequently contain PHI, PII, or other regulated data that cannot leave a controlled boundary.
  • No call-home dependency. Air-gapped environments cannot rely on a gateway that phones a vendor's control plane to function.
  • Auditability. Compliance frameworks such as HIPAA, SOC 2, GDPR, and ISO 27001 require immutable audit trails of who accessed what.
  • Access control. Fine-grained role-based permissions are needed to satisfy least-privilege requirements.
  • Self-hostable everything. Routing, key storage, caching, and logging must all run inside the boundary.

A gateway for these environments must run fully self-hosted, including in networks with no internet egress. Bifrost is designed to run this way, with in-VPC and on-prem deployment and enterprise-grade governance.

Key criteria for evaluating an air-gapped AI gateway

  • Deployment isolation: Can it run fully on-prem or air-gapped with no outbound dependency?
  • Data control: Do all prompts, logs, and keys stay inside the boundary?
  • Compliance support: Does it provide audit logs and controls aligned to HIPAA, SOC 2, GDPR, and ISO 27001?
  • Access control: Is there fine-grained RBAC and SSO integration?
  • Reliability at scale: Does it support clustering and high availability inside the boundary?
  • Provider breadth: Can it route to both hosted providers (where permitted) and self-hosted models?

The best air-gapped and on-prem AI gateways in 2026

1. Bifrost

Bifrost is an open-source AI gateway designed to run entirely inside infrastructure you control, which makes it well suited to air-gapped and on-prem deployments. It unifies 1,000+ models behind a single OpenAI-compatible API, and because it is self-hosted, no prompt data has to leave the boundary. For disconnected environments, it routes to self-hosted inference backends such as vLLM and Ollama, so the gateway functions even with no access to external providers.

Deployment options cover the full range regulated teams need: in-VPC deployments across AWS, GCP, Azure, Cloudflare, and Vercel, plus on-prem Kubernetes and Docker. Compliance controls are built in: audit logs provide immutable trails for SOC 2, GDPR, HIPAA, and ISO 27001, role-based access control enforces least privilege, and identity integrates through OpenID Connect with Okta and Microsoft Entra. Guardrails, including secrets detection, run inside the boundary.

For reliability inside the boundary, clustering provides high availability with automatic service discovery and zero-downtime deployments. Governance is native through virtual keys with budgets and rate limits, and performance stays low, with benchmarks showing about 11 microseconds of overhead per request at 5,000 requests per second. Healthcare teams can review Bifrost's approach to healthcare and life-sciences AI infrastructure for compliance-specific patterns.

Best for: Bifrost is built for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. It serves as a centralized AI gateway to route, govern, and secure all AI traffic across models and environments with ultra low latency. Bifrost unifies LLM gateway, MCP gateway, and Agents gateway capabilities into a single platform. Designed for regulated industries and strict enterprise requirements, it supports air-gapped deployments, VPC isolation, and on-prem infrastructure. It provides full control over data, access, and execution, along with robust security, policy enforcement, and governance capabilities.

2. LiteLLM

LiteLLM is an open-source LLM proxy that can be self-hosted, including in on-prem environments. Its open-source nature and code-first design make it deployable inside a controlled network, and it can route to self-hosted models. Teams in regulated settings often supplement it with separate components for immutable audit logging, RBAC, SSO, and high-availability clustering to meet compliance requirements. The Bifrost LiteLLM alternatives page compares the two.

Best for: Teams that want a lightweight self-hostable proxy and will build compliance controls around it.

3. vLLM

vLLM is a self-hosted, high-throughput inference engine for open-weight models. It is a core building block for air-gapped AI because it serves models entirely on local GPUs with no external dependency. It is an inference server rather than a routing or governance layer, so it is typically paired with a gateway in front for failover, access control, and audit logging. Bifrost connects to vLLM backends directly.

Best for: Serving open-weight models on local GPUs inside a disconnected environment.

4. Kong AI Gateway

Kong AI Gateway is self-hostable and can run on-prem, extending the Kong API gateway with AI routing. Organizations that already operate Kong on-prem for API management may use it to add LLM routing within the same controlled environment. Its AI capabilities are plugins on a general-purpose proxy rather than a purpose-built LLM control plane, and compliance-specific AI controls depend on the surrounding configuration.

Best for: Organizations already running Kong on-prem that want to add AI routing in place.

5. Gloo AI Gateway

Gloo AI Gateway is built on Envoy and targets Kubernetes-native, self-hosted environments, which suits teams running private clusters on-prem. It fits platform teams already invested in Envoy and service mesh tooling. Like Kong, its AI routing builds on a general-purpose proxy, so teams without that foundation take on additional operational surface.

Best for: Kubernetes and Envoy-centric platform teams running private on-prem clusters.

How Bifrost compares for regulated deployments

Measured against the criteria that matter inside a regulated boundary, Bifrost is built for this environment:

Teams formalizing a selection can use the LLM Gateway Buyer's Guide, and the Bifrost Enterprise page details deployment patterns for regulated environments.

Deploying Bifrost inside an air-gapped boundary

Deployment fits standard regulated-environment practice. Bifrost Enterprise distributes through private container registries so images can be pulled into your environment, then run on-prem with Kubernetes or Docker. Configure self-hosted model backends for disconnected operation, enable audit logs and RBAC for compliance, and set virtual keys with budgets and rate limits per team. The result is a unified AI gateway with no data leaving the boundary.

Getting started with Bifrost

For regulated industries, the requirement is absolute: the AI gateway and all of its data must stay inside a controlled boundary, with audit trails, access control, and reliability built in. Bifrost meets that with air-gapped, in-VPC, and on-prem deployment, immutable audit logs, RBAC, clustering, and unified access to both hosted and self-hosted models. To see how Bifrost fits your compliance requirements, book a demo with the Bifrost team, or explore the Bifrost resources hub.

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