--- description: Compare the 9 best enterprise AI gateway options for 2026 on deployment, identity, guardrails, and MCP and agent coverage, with Bifrost ranked first. title: "9 Best Enterprise AI Gateways in 2026: A Comprehensive Guide" image: https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w1200/2026/11/9-best-enterprise-ai-gateways-in-2026-a-comprehensive-guide-bifrost-1920x1080.png --- Try Bifrost Enterprise free for 14 days. [Request access](https://www.getmaxim.ai/#enterprise-trial) **TL;DR** - Bifrost is the top enterprise AI gateway for organizations that need self-hosted, air-gapped deployment and one policy across model, MCP tool, and agent-to-agent traffic. - Kong AI Gateway, LiteLLM, and Agent Router (formerly Envoy AI Gateway) are the main self-hosted alternatives, each with a different operating model. - Azure API Management and Databricks Unity AI Gateway fit enterprises whose AI workloads already sit on those platforms. - Cloudflare AI Gateway, Vercel AI Gateway, and OpenRouter are hosted services, so AI traffic passes through vendor infrastructure. - Data path is the first filter for any gateway, because residency requirements remove whole categories before features are compared. Gartner projected that [70% of organizations building multi-LLM applications would use AI gateway capabilities by 2028](https://www.reworked.co/digital-workplace/how-ai-middleware-solves-the-vendor-lock-in-problem/), up from less than 5% in 2024. An enterprise AI gateway is the layer that makes those applications governable, because it routes, secures, and records AI traffic from one control point. [Bifrost](https://www.getmaxim.ai/), the [open-source AI gateway](https://github.com/maximhq/bifrost) built by Maxim AI, is the best choice for enterprises running mission-critical AI workloads that require top-tier performance, scalability, and reliability. This guide compares nine gateways on deployment, identity, guardrails, and MCP and agent coverage, based on documentation reviewed in November 2026. ## What Is an Enterprise AI Gateway? An enterprise AI gateway is a control layer between AI callers and AI services that centralizes routing, identity, spend limits, guardrails, and audit records. It gives platform and security teams one enforcement point for traffic that would otherwise be configured separately in each application, agent, and developer tool across the organization. [Gartner's market definition](https://www.gartner.com/reviews/market/ai-gateways) describes an AI gateway as an intermediary between applications and AI services or models that provides a central point to "enable security, governance and observability of AI workloads." The [complete guide to AI gateways for enterprises](https://www.getmaxim.ai/articles/a-complete-guide-to-ai-gateways-for-enterprises/) covers that foundation in depth. The category has widened. Early [LLM gateways](https://www.getmaxim.ai/llm-gateway) unified provider APIs for developers, while enterprise buyers now need to govern more kinds of AI traffic under the same policy. ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/image.png) ***Figure 1: The enterprise question is how many of these three traffic types one gateway can govern under the same policy.*** As Figure 1 shows, three traffic types now reach the gateway layer: - **Model calls:** requests to LLM providers and self-hosted models - **Tool calls:** agent access to external systems through the Model Context Protocol (MCP) - **Agent-to-agent calls:** requests between agents over the Agent2Agent (A2A) protocol ## Why Enterprises Need an AI Gateway Enterprises need an AI gateway because AI usage spreads faster than central controls. Without one, provider keys, budgets, data policies, and logs live in separate applications. A gateway replaces that sprawl with one enforcement point, so a policy change applies to all traffic behind it without an application release. Figure 2 shows where that enforcement happens on a typical request. The order varies by product, but cheap rejections run early and the provider call runs last. ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/image-1.png) ***Figure 2: Every stage runs in the request path, so gateway overhead and availability become production concerns.*** Five operational problems usually drive the purchase: - **Spend attribution:** finance needs cost by team, key, and model, which [centralized AI governance](https://www.getmaxim.ai/resources/governance) makes possible. - **Provider failures:** a rate limit or outage at one provider should not become an application incident. - **Data exposure:** personal data and credentials need [guardrails on requests and responses](https://www.getmaxim.ai/resources/guardrails) before they leave a controlled boundary. - **Audit evidence:** compliance teams need a record of who changed what and which caller reached which model. - **Agent reach:** agents act on external systems, so tool access needs the same controls as model access. Because the gateway sits in the production path, latency, failover behavior, and cluster design belong on the evaluation list alongside governance features. ## How to Evaluate an AI Gateway for Enterprise Use Evaluate an enterprise AI gateway on data path first, then traffic coverage, identity, and reliability. Feature lists look similar across vendors, so the useful questions are operational: where prompts travel, which traffic the policy reaches, how access maps to your directory, and how the gateway behaves during a provider incident. | Criterion | What to check | Why it matters | | --- | --- | --- | | Data path | Whether prompts and responses stay in your VPC or pass through a vendor | Decides whether a gateway passes regulated-industry review | | Traffic coverage | Model calls, MCP tool calls, and A2A calls under one policy | Separate tools for each create separate policy gaps | | Identity | SSO, SCIM, role-based access, and per-user credentials | Access should follow the directory, not a key spreadsheet | | Spend control | Budgets and rate limits by key, team, and customer | Limits must block spend, not only report it | | Guardrails | Input and output checks, plus external provider support | Security teams often have an approved vendor already | | Reliability | Failover, circuit breaking, clustering, and rolling upgrades | The gateway must not become a single point of failure | | Auditability | Administrative audit logs, request logs, and telemetry export | Evidence has to reach your existing monitoring tools | | Licensing | Which controls need a paid tier | SSO and audit logs are often the features teams must pay for | The [LLM Gateway Buyer's Guide](https://www.getmaxim.ai/resources/buyers-guide) turns these criteria into a procurement checklist. ## Best Enterprise AI Gateways Compared These nine gateways split into self-hosted, platform-native, and managed products. The table compares what each vendor documents for deployment, MCP and A2A coverage, identity, and guardrails. "Not published" means the capability did not appear in the product documentation reviewed in November 2026, not that it is confirmed absent. | Gateway | Deployment | MCP | A2A | Identity and access | Guardrails | | --- | --- | --- | --- | --- | --- | | Bifrost | Self-hosted: VPC, on-prem, air-gapped | Yes | Yes | SSO, SCIM 2.0, RBAC | Built-in, plus external providers | | Kong AI Gateway | Konnect, self-hosted, or Kong-hosted | Yes | Yes | OAuth2 strategies for MCP | Prompt guards, PII sanitizer, cloud services | | LiteLLM | Self-hosted | Yes | Yes | SSO and SCIM with a license | PII masking; per-key rules with a license | | Agent Router | Self-hosted on Envoy | Yes | Preview | OAuth for MCP | Not published | | Azure API Management | Azure service | Yes | Yes | Managed identities, OAuth | Azure AI Content Safety | | Databricks Unity AI Gateway | Databricks platform | Yes | Not published | Unity Catalog privileges | Service policies, PII and PHI detection | | Cloudflare AI Gateway | Hosted | Not published | Not published | Token-based gateway access | Guardrails and DLP, in beta | | Vercel AI Gateway | Hosted | Not published | Not published | Not published | Not published | | OpenRouter | Hosted | Not published | Not published | SSO, SCIM, workload identity | Model and provider allowlists | For VPC and on-prem patterns behind the deployment column, see the [enterprise deployment guide](https://www.getmaxim.ai/resources/enterprise-deployment). ## 1. Bifrost ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/Screenshot-2026-11-05-at-7.33.47---PM.png) [The Bifrost AI gateway](https://www.getmaxim.ai/) is an open-source, self-hosted control plane that routes, governs, and secures model calls, MCP tool calls, and agent-to-agent calls under one set of rules. It runs as a single binary inside customer infrastructure and reaches 10,000+ models across 25+ providers through one OpenAI-compatible API. **Best for:** Bifrost is built for enterprises running mission-critical AI workloads that require top-tier 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 strong security, policy enforcement, and governance capabilities. ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/image-2.png) ***Figure 3: Policy is set once at the Bifrost gateway, and Bifrost Edge extends that same policy to employee machines.*** - **Performance:** [published benchmarks](https://www.getmaxim.ai/resources/benchmarks) show about 11 microseconds of overhead per request at 5,000 RPS, on a single t3.xlarge. - **Reliability:** [automatic fallbacks](https://docs.getbifrost.ai/features/retries-and-fallbacks) work across providers, adaptive routing moves traffic away from failing providers and keys, and clustering uses a peer-to-peer gossip protocol with zero-downtime rolling updates. - **Governance:** [virtual keys](https://docs.getbifrost.ai/features/governance/virtual-keys) carry budgets, rate limits, and access rules, and access profiles apply reusable policy across teams. - **Identity:** OIDC login, directory sync, and SCIM 2.0 connect Okta, Microsoft Entra, and other providers, with role-based access control on top. - **Security:** [guardrails](https://www.getmaxim.ai/ai-guardrails) cover LLM traffic and MCP tool executions, with built-in secrets detection and regex rules, plus AWS Bedrock Guardrails, Azure Content Safety, Google Model Armor, and CrowdStrike AIDR. - **MCP:** the [MCP gateway](https://www.getmaxim.ai/mcp-gateway) supports six upstream auth types, including per-user OAuth. Code Mode cuts input tokens by up to 92.8%, and a [508-tool run dropped from $377 to $29](https://www.getmaxim.ai/bifrost/blog/bifrost-mcp-gateway-access-control-cost-governance-and-92-lower-token-costs-at-scale) with a 100% pass rate. - **Agents:** the [Agent Gateway](https://docs.getbifrost.ai/features/agent-gateway/overview) registers A2A agents by agent card, and agent access is a separate grant from model and tool access. - **Audit:** [signed audit logs](https://docs.getbifrost.ai/enterprise/audit-logs) record administrative activity, while log exports offload request and response payloads to S3, GCS, or Azure Blob Storage. - **Observability:** [gateway-layer observability](https://www.getmaxim.ai/ai-observability) includes Prometheus metrics, OpenTelemetry tracing, and connectors for Datadog, Kafka, BigQuery, Pub/Sub, and Splunk. Bifrost compliance coverage includes SOC 2 Type II, ISO 27001, HIPAA, and GDPR, and [Bifrost Enterprise](https://www.getmaxim.ai/enterprise) deployments run in-VPC or air-gapped, so no prompts, responses, files, or telemetry leave customer infrastructure. The gateway is where policy lives. [Bifrost Edge](https://www.getmaxim.ai/edge) extends that governance to employee machines on macOS, Windows, and Linux, routing desktop apps, browser AI, coding agents, and their MCP servers through the Enterprise Gateway. The open source core is free under Apache 2.0, and [Enterprise pricing](https://www.getmaxim.ai/pricing) is custom with a 14-day trial. ## Self-Hosted AI Gateways for Platform Teams Self-hosted AI gateways keep the data plane inside your environment, which is the requirement most regulated enterprises start from. Kong AI Gateway, LiteLLM, and Agent Router all qualify, but each suits a different team: existing Kong users, teams prioritizing provider breadth, and Kubernetes teams standardized on Envoy. ### 2. Kong AI Gateway ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/Screenshot-2026-11-05-at-7.34.18---PM.png) Kong AI Gateway is a control plane for LLM, MCP, and A2A traffic, configured through a set of AI policies. **Best for:** organizations already running Kong that want AI traffic managed alongside existing APIs. - **Deployment:** Konnect with data planes in your environment, self-hosted on-prem, or Kong-hosted Dedicated Cloud Gateways - **Policies:** AI Semantic Cache, AI Rate Limiting Advanced for cost-based limits, and AI Sanitizer for PII redaction - **Guardrails:** AI Prompt Guard and semantic prompt and response guards, plus AWS, Azure, and GCP guardrail integrations Kong assembles capabilities from individual policies, so plan for configuration work and confirm which policies your license covers. The [Kong AI Gateway alternatives](https://www.getmaxim.ai/articles/best-kong-ai-gateway-alternatives-in-2026/) comparison covers this trade-off. ### 3. LiteLLM ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/Screenshot-2026-11-05-at-7.34.28---PM.png) LiteLLM is a self-hosted gateway that exposes one OpenAI-compatible endpoint for 100+ LLM providers, MCP tools, and A2A agents. **Best for:** engineering teams that want broad provider coverage and are prepared to operate the proxy and its Postgres database. - **Governance:** virtual keys with models, budgets, and rate limits per user, team, or project - **Deployment:** Docker, Helm, or Terraform inside your VPC, with a SOC 2 Type II audit on record - **Paid tier:** SCIM, audit logs, and per-key and per-team guardrails require an Enterprise license, and SSO is free for up to five users In vendor-run benchmarks with 500 concurrent users, [open-source Bifrost](https://www.getmaxim.ai/) reached 424 req/s against 44.84 req/s for LiteLLM, with P99 latency of 1.68 s against 90.72 s. The [LiteLLM alternatives page](https://www.getmaxim.ai/bifrost/alternatives/litellm-alternatives) covers the migration path. Separately, the [Cloud Security Alliance documented](https://labs.cloudsecurityalliance.org/research/csa-research-note-litellm-pypi-backdoor-ai-toolchain-supply/) a March 2026 supply chain incident in which LiteLLM 1.82.7 and 1.82.8 were published to PyPI with credential-stealing malware, so pin versions and verify artifacts. The [Bifrost and LiteLLM enterprise comparison](https://www.getmaxim.ai/articles/ai-gateway-for-enterprise-bifrost-vs-litellm-compared/) goes deeper. ### 4. Agent Router (Formerly Envoy AI Gateway) ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/Screenshot-2026-11-05-at-7.35.18---PM.png) Agent Router is the Apache 2.0 project previously named Envoy AI Gateway, which joined the Agentic AI Foundation under its new name in September 2026. Envoy remains the data plane. **Best for:** Kubernetes platform teams already standardized on Envoy. - **Traffic control:** token-aware rate limiting, quota policies for token budgets, and provider fallback - **MCP:** an MCP gateway with server multiplexing, tool routing, and OAuth authentication - **A2A:** traffic routing through Envoy's native A2A filter, currently in preview Agent Router's capabilities page does not list guardrails or an identity-based administration layer, so teams should plan to supply those separately. ## Cloud and Data Platform AI Gateways Cloud and data platform AI gateways extend governance that an enterprise already runs on one vendor. They reduce procurement and identity work when AI workloads stay on that platform. The trade-off is scope: policy, logging, and billing follow the platform, which matters for organizations running a multi-cloud AI strategy. ### 5. Azure API Management ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/Screenshot-2026-11-05-at-7.35.56---PM.png) Azure API Management adds AI gateway capabilities to the existing Azure API gateway, covering language model APIs, remote MCP servers, and A2A agent APIs. **Best for:** Azure-centered enterprises that already manage APIs in API Management. - **Token control:** `llm-token-limit` policies by subscription, IP address, or custom expression - **Reliability:** round-robin, weighted, priority, and session-aware load balancing, with circuit breakers - **Safety and logging:** Azure AI Content Safety moderation, plus logging to Azure Monitor and Application Insights Semantic caching requires Azure Managed Redis or a compatible external cache, and capability availability varies by tier. The [Azure AI gateway alternatives](https://www.getmaxim.ai/articles/top-5-azure-ai-gateway-alternatives-for-multi-cloud-llm-traffic-in-2026/) guide covers multi-cloud cases. ### 6. Databricks Unity AI Gateway ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/Screenshot-2026-11-05-at-7.36.36---PM.png) Databricks Unity AI Gateway extends Unity Catalog governance to models, MCP servers, agents, tools, and skills. **Best for:** enterprises that run data and AI workloads on Databricks and want one permission model across both. - **Access:** Unity Catalog privileges control who can reach each model and tool - **Policy:** service policies check requests and responses, with PII and PHI detection - **Traffic:** load balancing, fallbacks, and coverage for coding agents through a CLI Unity AI Gateway is scoped to the Databricks platform, and several of its related documentation pages carry beta labels, so confirm the status of each capability. Enterprises with AI traffic outside Databricks need a [multi-provider AI gateway](https://www.getmaxim.ai/llm-gateway) for the remainder. ## Managed AI Gateways Managed AI gateways run on vendor infrastructure, so teams get provider access and routing without operating a data plane. They are the fastest to adopt. For enterprises, the key review is the data path: prompts pass through a third party, which security and compliance teams must approve before production use. ### 7. Cloudflare AI Gateway ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/Screenshot-2026-11-05-at-7.37.10---PM.png) Cloudflare AI Gateway is a hosted service that adds caching, rate limiting, logging, and analytics in front of AI providers. **Best for:** teams already on Cloudflare that want visibility and basic control over AI traffic. - **Core features:** caching of identical requests, rate limiting, logging with Logpush export, and analytics - **Beta features:** Dynamic Routing, Guardrails, DLP, BYOK, and Spend Limits, based on documentation labels at review time Fallbacks are configured through Dynamic Routing, so confirm its production status against your requirements. The [Cloudflare AI Gateway alternatives](https://www.getmaxim.ai/articles/best-cloudflare-ai-gateway-alternative-in-2026/) guide compares self-hosted options. ### 8. Vercel AI Gateway ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/Screenshot-2026-11-05-at-7.37.24---PM.png) Vercel AI Gateway is a hosted routing layer that provides one API across many model providers, with health-aware failover by default. **Best for:** product teams building on Vercel that want managed provider routing. - **Routing:** provider order, hard provider filters, sorting by cost or latency, and model fallbacks - **Data controls:** per-request and team-wide zero data retention on paid accounts, plus regional inference and provider allowlists - **Observability:** OpenTelemetry trace drains BYOK keys are skipped by default when zero data retention is on, unless a key is marked compliant. The [Vercel AI Gateway alternatives](https://www.getmaxim.ai/articles/best-vercel-ai-gateway-alternatives-in-2026/) guide covers enterprise trade-offs. ### 9. OpenRouter ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/Screenshot-2026-11-05-at-7.37.38---PM.png) OpenRouter is a hosted, OpenAI-compatible gateway that lists 600+ models from 80+ providers. **Best for:** teams that want broad model access under one contract, with no infrastructure to run. - **Identity:** SSO, SCIM, and workload identity federation - **Spend control:** budgets per workspace, API key, and member, with alerts - **Data controls:** zero data retention routing, EU and US regional endpoints, and a SOC 2 Type II report OpenRouter's enterprise page describes only the hosted gateway, and it notes that account and billing records may be processed in the US. See the [production OpenRouter alternative comparison](https://www.getmaxim.ai/articles/best-openrouter-alternative-in-2026-a-production-ai-gateway-comparison/) for self-hosted options. ## How to Choose an AI Gateway for Your Organization Choose a gateway by working through constraints in order. Start with where data can travel, then decide whether a single platform covers your AI workloads, then compare traffic coverage and governance. This sequence removes most options quickly and stops feature comparisons from driving a decision that compliance will later reject. ![](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2026/11/image-3.png) ***Figure 4: Data residency is the first filter because it removes whole categories of gateway before any feature comparison starts.*** Three problems recur after adoption, so test each during a proof of concept: - **Partial coverage:** a gateway that governs only application traffic leaves coding agents and desktop AI tools outside policy. The [shadow AI overview](https://www.getmaxim.ai/resources/shadow-ai) explains that gap. - **Assembled governance:** combining a router, a guardrail service, and a separate MCP layer creates several policy surfaces to keep aligned. - **Load behavior:** gateways that perform well in a demo can degrade under concurrency, so test at expected peak traffic with [the open-source Bifrost gateway](https://www.getmaxim.ai/) or any shortlisted option. The [gateway buyer's checklist](https://www.getmaxim.ai/resources/buyers-guide) gives a fuller set of proof-of-concept questions. ## Frequently Asked Questions ### What is the difference between an AI gateway and an LLM gateway? An LLM gateway routes and governs calls to language models. An AI gateway is the broader term and can also cover MCP tool calls and agent-to-agent traffic. Many vendors use the two terms interchangeably, so check the documented traffic types rather than the product label. Bifrost covers all three under one [set of governance rules](https://www.getmaxim.ai/ai-governance). ### What is the difference between an AI gateway and an API gateway? An API gateway manages general API traffic through authentication, routing, and request-based rate limits. An AI gateway adds model-aware controls such as token-based limits, cost tracking, semantic caching, prompt guardrails, and provider failover. Some AI gateways extend an API gateway, while others are built for AI traffic alone, so check which model-aware controls are native. ### Do I need an AI gateway if I use a single provider? An AI gateway is still useful with one provider when several teams share access. It gives each team its own budget, rate limit, and audit trail, and it keeps provider keys out of application code. Teams with one application and no governance requirement may not need one yet. ### Is an open source AI gateway ready for enterprise use? An open source AI gateway can be ready for enterprise use, but the license alone does not settle it. Check whether SSO, audit logs, clustering, and guardrails sit in the open source core or a paid tier. Bifrost's core is Apache 2.0, and the enterprise tier adds clustering, identity federation, and audit-grade compliance. ### Can an AI gateway run in an air-gapped environment? An AI gateway can run air-gapped only if it is self-hosted and has no required dependency on a vendor control plane. Hosted gateways cannot meet this requirement. Bifrost runs as a single binary in [in-VPC and on-prem environments](https://docs.getbifrost.ai/enterprise/invpc-deployments), and no prompts, responses, or telemetry leave customer infrastructure. ### How does an enterprise AI gateway govern MCP tools and agents? A gateway governs MCP tools and agents by placing access checks, credentials, and logging on those calls. Administrators decide which keys can reach which tools, and each call is recorded. Bifrost applies tool filtering and per-user auth to MCP calls, and the [Agent Gateway launch post](https://www.getmaxim.ai/bifrost/blog/introducing-agent-gateway-in-bifrost-one-gateway-for-models-tools-and-agents) covers A2A traffic. ## Try Bifrost Today The right enterprise AI gateway depends on where your data can travel and how much of your AI traffic needs one policy. For organizations that need self-hosted deployment, identity-based governance, and coverage across model, MCP, and agent traffic, [the Bifrost platform](https://www.getmaxim.ai/) provides all three in one gateway. Review this [enterprise AI gateway evaluation guide](https://www.getmaxim.ai/articles/a-complete-guide-to-ai-gateways-for-enterprises/) with your platform team, then [book a demo](https://www.getmaxim.ai/book-a-demo) with the Bifrost team to test it against your own requirements. ## Read next [![LLM Routing: How Routing Decisions Get Made](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w720/2026/10/llm-routing-how-routing-decisions-get-made-bifrost-1920x1080-1.png) LLM routing is the per-request choice of which provider, model, and API key serve an LLM call. This guide walks through the signals a router evaluates, the precedence order Bifrost applies, what happens when a route fails, and how to debug a routing decision from its logs.](https://www.getmaxim.ai/articles/llm-routing-decisions/) [![How to Deploy an LLM Stack in an Air-Gapped Environment](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w720/2026/10/how-to-deploy-an-llm-stack-in-an-air-gapped-environment-bifrost-1920x1080.png) An air-gapped environment has no automated connection to the internet, so every model, image, and update arrives by controlled transfer. This guide walks through each layer of an offline LLM stack, from model serving with vLLM and SGLang to gateway policy, guardrails, identity, and audit logs.](https://www.getmaxim.ai/articles/llm-stack-air-gapped-environment/) [![GPT Realtime API in Production: Routing, Governing and Billing Voice Sessions](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w720/2026/10/gpt-realtime-api-in-production-routing-governing-and-billing-bifrost-1920x1080.png) GPT Realtime is OpenAI's speech-to-speech model family on the Realtime API, with GPT-Live as its duration-billed sibling. This guide covers connections, client secrets and billing, then shows how Bifrost routes, governs and prices every voice session.](https://www.getmaxim.ai/articles/gpt-realtime-api-production/) ## More in AI Gateway [![LLM Routing: How Routing Decisions Get Made](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w720/2026/10/llm-routing-how-routing-decisions-get-made-bifrost-1920x1080-1.png) LLM routing is the per-request choice of which provider, model, and API key serve an LLM call. This guide walks through the signals a router evaluates, the precedence order Bifrost applies, what happens when a route fails, and how to debug a routing decision from its logs.](https://www.getmaxim.ai/articles/llm-routing-decisions/) ```json { "@context": "https://schema.org", "@type": "Article", "publisher": { "@type": "Organization", "name": "Maxim Articles", "url": "https://www.getmaxim.ai/articles/", "logo": { "@type": "ImageObject", "url": "https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w256h256/2025/08/thumbnail.png", "width": 60, "height": 60 } }, "author": { "@type": "Person", "name": "Kamya Shah", "image": { "@type": "ImageObject", "url": "https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2025/09/WhatsApp-Image-2025-08-29-at-17.40.40-1.jpeg", "width": 1200, "height": 1600 }, "url": "https://www.getmaxim.ai/articles/author/kamya/", "sameAs": [] }, "headline": "9 Best Enterprise AI Gateways in 2026: A Comprehensive Guide", "url": "https://www.getmaxim.ai/articles/9-best-enterprise-ai-gateways/", "datePublished": "2026-11-05T14:09:04.000Z", "dateModified": "2026-11-05T14:09:04.000Z", "image": { "@type": "ImageObject", "url": "https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w1200/2026/11/9-best-enterprise-ai-gateways-in-2026-a-comprehensive-guide-bifrost-1920x1080.png", "width": 1200, "height": 675 }, "keywords": "AI Gateway", "description": "An enterprise AI gateway is the control layer that routes, governs, and secures AI traffic across models, tools, and agents. 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