TrustGate is an AI gateway built by a security company, designed for AI traffic from day one. Apache APISIX is a high-performance API gateway (a top-level Apache Software Foundation project) whose AI capabilities are plugins added on top of its API-management core. Both are open source. The difference is not licensing, it is whether the gateway was built to understand AI traffic or adapted to route it.

NeuralTrust TrustGate is an AI gateway built from the ground up for LLM and MCP traffic, by a security company. Apache APISIX took a different route: it is a mature open-source API gateway, and its AI capabilities are a set of plugins added on top of that API-management core.

When you are choosing the control layer for your AI traffic, that starting point shapes what the gateway can actually do, from how it inspects a conversation to how the tools your agents use are connected and observed.

Both are open source and both can run in your own infrastructure, so the meaningful differences sit deeper than licensing or hosting: in whether the gateway was designed for AI or adapted to carry it.

TL;DR

NeuralTrust has native, built-in security with session memory. APISIX secures AI traffic with plugins (regex prompt guard, external content moderation) that inspect one request at a time, with no session-level view.
NeuralTrust ships an integrated catalog of more than 200 MCP servers, connectable in one click. APISIX handles MCP through plugins and bridging that you configure manually, with no ready catalog.
NeuralTrust has a native activity view to inspect every individual request inside the gateway. APISIX pushes per-request detail out to external telemetry tools.
Both are open source and deploy privately or in the cloud, so the decision is whether the gateway was built for AI or adapted to it.

NeuralTrust vs. Apache APISIX: AI Gateway Feature Comparison at a Glance

Capability	NeuralTrust	Apache APISIX
Open-source license	✅	✅
Flexible deployment (private, cloud)	✅	✅
Purpose-built for AI	✅	❌
Built-in security native	✅	❌
MCP catalog integrated	✅ +200	❌
Native activity view	✅	❌

NeuralTrust vs. Apache APISIX: Platform Overview

What is NeuralTrust TrustGate?

TrustGate is NeuralTrust's AI gateway, built by a security company. It sits between agents and the services they call (LLM providers and MCP servers) and becomes the single place where routing, policy, security, and observability attach.

Its core abstractions are Consumers, Providers, Routes, and Policies: provider connections are configured once and reused, while routing, failover, retries, and caching live in the gateway rather than in each application's code.

Security is the organizing principle. A Security Engine attaches to every route and inspects each request inline, enforcing an allow, block, or transform decision before the request reaches its target, and it maintains session memory so it reasons about a whole conversation rather than one message at a time.

TrustGate also ships an integrated catalog of more than 200 third-party MCP servers and resolves each workflow into a native activity view where every request is there to inspect.

What is Apache APISIX?

Apache APISIX is a high-performance open-source API gateway, a top-level project of the Apache Software Foundation, built on Nginx and etcd.

Its AI capabilities are a set of plugins layered on that API gateway: ai-proxy for multi-provider routing, token-based rate limiting, Prompt Guard, content moderation, prompt decoration, RAG, and MCP bridging, among a catalog of more than 100 plugins.

That plugin model is the defining trait, and it cuts both ways. APISIX handles API traffic and AI traffic on the same platform, which suits teams already running APISIX for API management.

But the AI features are additions to an API gateway rather than a native AI design: security is a plugin that inspects individual requests, MCP servers are wired up by hand, and the per-request detail lives in the telemetry APISIX exports to external tools. It is an API gateway extended toward AI, not a gateway built for AI.

Purpose-Built for AI vs an API Gateway Extended to AI

Everything else in this comparison follows from one difference: what each product was built to be.

TrustGate was designed from the start as an AI gateway. Its model (Consumers, Providers, Routes, Policies) and its defining behaviors (session-aware security, an integrated MCP catalog, a native activity view) exist because they were the point of the product, not features grafted onto something older. The gateway understands AI traffic natively because that is the only thing it was built to carry.

APISIX is an API gateway: Its own documentation describes it as an API gateway that is also an AI gateway through its plugins, and its AI features arrived as additions to a mature API-management core built on Nginx and etcd.

That heritage is exactly why the differences below exist: an API gateway processes requests, so security is a per-request plugin rather than session-aware; it was built to route to services, so MCP servers are bridged and configured by hand rather than offered as a catalog; and its visibility model is API telemetry exported to external tools, so request-level AI detail lives outside the gateway.

These are not flaws in APISIX as an API gateway. They are the shape of an API gateway asked to do a job it was not originally designed for.

Built-In Security: Session Memory and Inline Enforcement

Security is where the two diverge most, and the divergence starts with what each was built to do.

TrustGate carries security inside the gateway. A Security Engine attaches to every route, inspects each request inline, and enforces before the request reaches the model.

Its foundation is session memory: it treats an interaction as a conversation rather than a sequence of unrelated calls, so it can catch patterns that only appear across turns, such as an attack or abuse spread deliberately across several innocuous-looking messages. Detection and enforcement are native to the gateway, so a blocked request and the reason for it are part of the product itself.

APISIX secures AI traffic through plugins: Prompt Guard matches prompts against regex allow and deny rules, and content moderation calls external services such as AWS Comprehend or Alibaba Cloud to filter unsafe content. (Source: Apache APISIX AI Plugins documentation)

These plugins inspect one request at a time. There is no session memory and no conversation-level analysis, so an adversarial pattern that unfolds gradually across a conversation falls outside what a per-request rule can see. It is a useful filtering toolkit assembled from plugins, not a security engine that reasons across a whole session.

MCP Catalog Integrated vs Manual Setup

Agents reach their tools over the Model Context Protocol, so how quickly and cleanly those tools connect is a real measure of an AI gateway.

TrustGate ships an integrated catalog of more than 200 third-party MCP servers, the tools teams use every day, connectable in one click and governed through the gateway from the moment they are enabled. Teams do not spend engineering time wiring servers up individually, and every connected tool is under policy and observation by default because it runs through the gateway.

APISIX handles MCP through plugins and bridging, converting MCP servers into gateway-managed endpoints and applying the gateway's auth and rate-limiting policies to that traffic.

It is real governance machinery, but there is no ready catalog: each server is bridged and configured by hand, one at a time. The plumbing to govern MCP traffic exists; the work of connecting each tool does not go away. For an organization standing up many tools across many teams, that is the gap between a configuration step and an ongoing project.

Native Activity View vs Exported Telemetry

Understanding what an agent did comes down to one question: show me this exact request. How fast you can answer it depends on whether request-level visibility lives inside the gateway or somewhere you have to build.

TrustGate has a native activity view built into the gateway. Every request is there to inspect on its own, with its status, the endpoint it hit, the model that served it, and its latency, in the gateway's own interface. You open the view and see exactly what happened, request by request, without standing up a logging pipeline or a dashboard first.

APISIX exposes its data through telemetry integrations: Prometheus metrics, OpenTelemetry, and exporters to tools like Datadog, Elasticsearch, and SkyWalking. The per-request detail is real, but it is designed to be shipped out to an external observability stack that you connect, configure, and maintain, rather than read inside the gateway.

Answering the same question means first deciding where that detail will live and building the view there. One gateway hands you the answer; the other hands you the raw material to assemble it.

NeuralTrust vs. Apache APISIX: Final Verdict

Apache APISIX is a capable open-source API gateway, and for teams already running it, its AI plugins extend a familiar platform to LLM and MCP traffic. But its AI features are additions to an API gateway: security is a per-request plugin, MCP servers are wired up by hand, and the per-request detail lives in telemetry exported elsewhere.

NeuralTrust is built for AI from the start. Security is native to the gateway and reasons across whole sessions; more than 200 MCP servers connect in one click and are governed on contact; and a native activity view shows exactly what happened on any request without assembling an observability stack first. Both are open source and both deploy privately or in the cloud, so the decision is not licensing or hosting.

For architecture leaders with an AI security mandate, TrustGate is the answer: session-aware enforcement from a security company, 200+ pre-built MCP servers governed on contact, and request-level visibility inside the gateway without assembling an external observability stack.

Apache APISIX is the right answer if you already operate it for API management and need basic AI routing on familiar infrastructure. That is a legitimate operational decision. It is a different decision from choosing a gateway built to secure and operate AI at enterprise scale.

Frequently Asked Questions about NeuralTrust vs. Apache APISIX's AI Gateways

1. What is the main difference between NeuralTrust and Apache APISIX?

NeuralTrust TrustGate is an AI gateway built by a security company, with security, session memory, an MCP catalog, and a native activity view designed into the gateway. Apache APISIX is a mature API gateway whose AI capabilities are plugins layered on its API-management core, so those AI features are additions rather than a native AI design.

2. Does Apache APISIX have built-in security like NeuralTrust?

APISIX secures AI traffic with plugins such as Prompt Guard (regex allow and deny rules) and content moderation through external services. These inspect one request at a time and have no session memory, so patterns that unfold across a conversation are outside what they evaluate. NeuralTrust's security is native to the gateway and enforces inline across a whole session.

3. What is the MCP catalog and how is it different from APISIX's MCP plugins?

NeuralTrust ships an integrated catalog of more than 200 third-party MCP servers that connect in one click and are governed immediately through the gateway. APISIX handles MCP through plugins and bridging that turn servers into gateway-managed endpoints, but each server is configured manually and there is no ready catalog to connect from.

4. Are both NeuralTrust and Apache APISIX open source?

Yes. Apache APISIX is a top-level Apache Software Foundation project under Apache 2.0, and NeuralTrust offers an open-source gateway as well. Licensing is not the deciding factor; the difference is that NeuralTrust was designed for AI traffic while APISIX extends an API gateway to it through plugins.

5. Which is better for enterprise agentic AI?

If your priority is extending an API gateway you already operate to basic AI routing, APISIX's plugins fit that case. If your priority is running and securing AI and agentic traffic natively, with session-aware security, a one-click MCP catalog, and request-level visibility inside the gateway, NeuralTrust TrustGate is built for it.

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About the Author

Alessandro Pignati is Lead AI Security Researcher at NeuralTrust, where he leads research on AI and agentic security, advancing techniques to evaluate and secure large language models and autonomous AI systems. He specializes in adversarial machine learning, AI red teaming, LLM security, and AI safety, contributing to the development of secure and trustworthy AI.

NeuralTrust is an AI agent security platform, recognized in the Gartner 2025 Market Guide for AI Gateways and Guardian Agents, and the KuppingerCole 2025 Leadership Compass for Generative AI Defense. Headquartered in Barcelona with ISO 27001 certification.

NeuralTrust vs Apache APISIX: ¿Qué AI Gateway es la mejor opción para la seguridad de la IA empresarial?