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

This comparison is written for enterprise security and platform leaders (CISOs, CIOs, Heads of AI, and platform engineering teams) evaluating an AI gateway as the control layer for LLM, MCP (Model Context Protocol), and agent traffic. It compares two products in that category: NeuralTrust TrustGate and the Apache APISIX AI Gateway.

An AI gateway sits between AI agents and the services they call (LLM providers, MCP tool servers, and other agents) and becomes the single place where routing, policy, security enforcement, and observability attach. Both TrustGate and APISIX govern LLM traffic and offer MCP capabilities, and both are open source and self-hostable.

The two products approach the category from different starting points. TrustGate is built by a security company and treats runtime security enforcement as the gateway's organizing principle. Apache APISIX is a mature, high-performance open-source API gateway (an Apache Software Foundation top-level project built on Nginx/OpenResty and etcd) that adds AI capabilities through a set of AI plugins, extending an established API-management platform into AI traffic. This article compares them on architecture, runtime security, posture management, governance, MCP and tool controls, observability, and deployment. Only the gateway component of each vendor is in scope.

Related article: The 11 Best AI Gateways for Enterprise AI Security in 2026

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Executive Summary (TL;DR)

• TrustGate is security-first, positioning as "the AI gateway built by a security company." Its differentiating design choice is a Security Engine that attaches to every Route, into which NeuralTrust's own runtime security product (TrustGuard) plugs.
• TrustGate ships a first-party runtime detection engine. APISIX's AI security is delivered through plugins that apply regex allow/deny rules (ai-prompt-guard) or call external moderation services (AWS Comprehend, Alibaba Cloud), rather than a first-party multi-turn behavioral detection engine.
• NeuralTrust offers a companion posture product (TrustLens) that discovers and assesses AI running outside the gateway's path, a layer APISIX does not include.
• TrustGate emphasizes a single unified multi-protocol trace tree across LLM, MCP, and A2A traffic, with cost, latency, and security findings attributed inline.
• Apache APISIX is a mature, high-performance, fully open-source API gateway (ASF top-level project, Apache 2.0) with a large plugin ecosystem, multi-LLM routing, token rate limiting, retries and fallbacks, RAG, and content moderation. Its performance, neutrality, and zero-license-cost model are genuine strengths.
• All APISIX AI plugins are open source. Unlike some competitors, APISIX does not gate its AI security plugins behind a commercial tier, though the commercial API7 offering adds enterprise management, support, and additional features.
• APISIX governs LLM and MCP traffic (MCP-to-HTTP bridging over Streamable HTTP, openapi-to-mcp, and per-consumer MCP tool access control), and unifies AI and traditional API traffic in one gateway.
• Both are self-hostable and Apache-2.0 licensed at the core; the difference is where security depth and posture live.

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Comparison at a Glance

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Platform Overview

What is NeuralTrust TrustGate?

TrustGate is NeuralTrust's AI gateway. It sits between agents and the services they call (LLM providers, MCP servers, and other agents) and is designed to be the one place where routing, policy, security, and observability attach across all three kinds of AI traffic. Its core abstractions are Consumers, Providers, Routes, and Policies. Provider connections are configured once and reused; routing, failover, retries, and caching live in the gateway rather than in each application's code.

TrustGate's defining design choice is that a Security Engine attaches to every Route: when one is attached, every request is inspected and an allow/block/transform decision is executed before the request reaches its target. Security findings render as first-class spans in the same trace tree as operational telemetry. NeuralTrust positions this as the architectural consequence of being "the only AI gateway built by a security company."

Per NeuralTrust's own documentation, TrustGate is explicitly not itself the content-detection product (that is TrustGuard, the engine that attaches) and not a posture-management product (that is TrustLens, a separate product). The gateway core is Apache 2.0 and open source; the governance layer, retention, and security-finding depth are commercial.

What is Apache APISIX AI Gateway?

Apache APISIX is a mature, high-performance open-source API gateway and a top-level project of the Apache Software Foundation, built on Nginx/OpenResty with etcd for dynamic configuration. Its AI Gateway is not a separate product but a set of AI plugins that transform APISIX into an AI gateway, so organizations can manage AI traffic alongside traditional API traffic in one gateway.

Its documented AI plugins include ai-proxy and ai-proxy-multi (unified access and multi-LLM load balancing across OpenAI, DeepSeek, Anthropic, Azure OpenAI, Bedrock, Gemini, Mistral, and self-hosted or OpenAI-compatible endpoints, with retries, fallbacks, and health checks), ai-rate-limiting (token-based limits by route, service, consumer, or group), ai-prompt-guard (allow/deny regex rules on prompts), ai-prompt-decorator and ai-prompt-template, ai-rag (retrieval-augmented generation), ai-request-rewrite, and content-moderation plugins that integrate AWS Comprehend or Alibaba Cloud. APISIX has enhanced AI observability (time to first token, token usage, error rates) and integrates with OpenTelemetry, Prometheus, and SkyWalking.

APISIX is fully open source under Apache 2.0, and its AI plugins are open source as well. A commercial company, API7.ai, offers enterprise distributions, management, and support built on APISIX, along with some additional plugins (for example openapi-to-mcp and mcp-tools-acl appear in the API7 plugin hub). The distinction between the open-source project and the commercial offering matters for a procurement and support conversation.

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Architecture Comparison

Both are software gateways that centralize AI traffic and apply policy, and both are open source at the core.

TrustGate organizes around Consumers, Providers, Routes, and Policies, and is designed so that a Security Engine attaches at the Route level as a foundational concern. It covers LLM, MCP, and A2A traffic in one model and renders security findings inline in the trace tree. NeuralTrust's stated deployment model is an open-source self-hosted core, with managed and hybrid (VPC, air-gapped) deployment at the enterprise tier. It is a purpose-built AI gateway.

Apache APISIX inherits a proven, high-performance architecture: an Nginx/OpenResty data plane with dynamic configuration through etcd, so routing rules, model endpoints, and rate limits update in milliseconds without gateway restarts. AI capabilities are delivered as plugins attached to routes and services, configured via the Admin API or declaratively, and APISIX runs on bare metal, Docker, or Kubernetes (with an Ingress Controller and Helm charts). The strengths are performance, neutrality (ASF governance, no single-vendor lock-in), and a very large plugin ecosystem that unifies API and AI traffic. The trade-off, as with any plugin-based gateway, is that AI governance depends on assembling and configuring the right plugins, and security depth comes from the plugins you enable rather than a built-in detection engine.

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Runtime AI Security

This is the sharpest difference, and it is a difference of model.

TrustGate places a Security Engine attachment at the center of its design: NeuralTrust's own runtime product, TrustGuard, plugs in and inspects every request inline, with the decision executed before the request reaches its target. NeuralTrust positions TrustGuard as delivering conversation-level and multi-turn analysis rather than isolated per-request filtering. Two honest caveats: the content-detection capability is TrustGuard (a separate, attachable product), not the bare gateway, and TrustGuard's specific detections should be verified against its own documentation.

Apache APISIX implements runtime security through plugins. The ai-prompt-guard plugin validates prompts against allow and deny regex patterns (and can inspect the latest message or the full conversation history), and content-moderation plugins integrate external services such as AWS Comprehend and Alibaba Cloud to reject toxic or non-compliant content above a configured threshold. Additional plugins (ai-prompt-decorator, ai-prompt-template, ai-request-rewrite, logging and auditing) support governance and prompt handling. This is a useful, layered toolkit. Two points a security buyer should weigh: the checks are primarily regex-based rules or calls to external moderation services rather than a first-party detection engine, and multi-turn behavioral analysis of adversarial intent is not positioned as a dedicated capability (ai-prompt-guard can scan full history against patterns, but pattern matching is not the same as behavioral detection).

Bottom line: TrustGate offers a first-party engine from a security company, attached inline as the gateway's organizing principle, with multi-turn analysis positioned as core. APISIX offers an open-source plugin toolkit built from regex rules and external moderation integrations. Which fits depends on whether the buyer wants a dedicated security-company detection stack or a fully open, self-assembled guardrail set on a high-performance gateway.

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AI Security Posture Management (AI-SPM)

Posture management means discovering and assessing AI agents, tools, and models across the estate, including those that do not route through the gateway.

Neither gateway does this on its own. For TrustGate, NeuralTrust's documentation is explicit that discovering and assessing AI outside the gateway's path is the job of TrustLens, a separate NeuralTrust product that consumes gateway signals. For APISIX, estate-wide AI discovery and posture assessment is not a documented capability; APISIX governs and observes the traffic that flows through it.

On a strict gateway-only basis this is a tie: neither gateway is a posture-management product. The practical difference is that NeuralTrust offers a dedicated companion posture product (TrustLens) that a customer can evaluate alongside the gateway, whereas APISIX has no equivalent companion layer for ungoverned AI across the estate.

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AI Governance

APISIX's governance surface is mature and inherited from its API-management heritage: Consumers and Consumer Groups, a large catalog of authentication plugins (key-auth, JWT, OAuth/OIDC), token-based rate limiting across multiple dimensions, and flexible logging/auditing that exports to many backends. Because everything is open source, there is no feature gate on the AI plugins themselves. The nuance for a security review is that governance quality depends on assembling and configuring plugins, and enterprise management features (a management UI, RBAC across teams, support) are where the commercial API7 offering adds value. TrustGate similarly gates SSO/SAML, RBAC, and long-term retention behind its enterprise tier.

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MCP & Tool Governance

Both products have an MCP story.

TrustGate governs MCP traffic that flows through it: per-Consumer tool access, tracing of every tool invocation (which tool, which arguments, which Consumer, which result, at what cost), and a unified audit trail. NeuralTrust's documentation is explicit that TrustGate is not an MCP connectivity platform and does not ship a library of pre-built MCP integrations; it governs the servers the customer registers.

Apache APISIX approaches MCP from its API-gateway strength. It can bridge MCP-to-HTTP, proxying traffic between MCP clients using Streamable HTTP transport and backend MCP servers, applying the same authentication, rate limiting, and observability policies that govern traditional API traffic, so MCP servers are exposed through a managed gateway layer rather than by direct agent-to-server access. The openapi-to-mcp plugin can expose existing OpenAPI services through MCP, and the mcp-tools-acl plugin provides per-consumer access control for MCP tool calls with allowlist and denylist rules. This lets teams turn existing APIs into governed MCP tools and control which consumers can call which tools.

Neither product ships a large managed catalog of third-party pre-built MCP servers as the gateway's core value; both govern the servers you connect (APISIX can also generate MCP endpoints from your OpenAPI services). If a big pre-built MCP catalog is a hard requirement, qualify it for both.

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Observability

Both provide solid observability.

TrustGate resolves a full agent workflow into a single trace tree (the model call, the MCP tool calls it triggers, and A2A delegations) with cost, latency, and security findings attributed at every level (Consumer, Route, Provider, span). NeuralTrust frames this unified multi-protocol trace as a differentiator, with security findings inline in the same view. Live observability is in the open-source core; long-term retention and historical analytics are commercial.

Apache APISIX provides AI-specific observability such as time to first token (TTFT), token usage, model, and error rates in access logs, and integrates with the broader observability ecosystem through OpenTelemetry, Prometheus, Zipkin, Apache SkyWalking, and log exporters to ClickHouse, Elasticsearch, Datadog, and Kafka. This is flexible, standards-based observability that plugs into whatever stack an enterprise already runs.

The practical difference is emphasis: TrustGate centers a unified multi-protocol trace with security findings inline in the same view; APISIX offers open, standards-based telemetry that integrates broadly across existing tooling.

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Deployment

APISIX's deployment flexibility is a strength: fully self-hostable on bare metal, Docker, or Kubernetes, with an Ingress Controller and Helm charts, and no license cost for the open-source project. TrustGate positions air-gapped and hybrid at its enterprise tier. Both keep the deployment inside the customer's infrastructure. For enterprises that want managed operation or formal support for APISIX, the commercial API7 offering fills that gap.

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Detailed Feature Comparison

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Which Platform Should You Choose?

Choose NeuralTrust TrustGate if...

• Your driver is a security mandate and you want the runtime-security engine to be a first-party product from a security company, not a set of regex rules and external moderation integrations you assemble yourself.
• You want multi-turn and conversation-level analysis positioned as core, and you will validate TrustGuard's detections against its documentation.
• You want security findings inline in the same trace tree the platform team already reads.
• You expect to also adopt a companion posture product (TrustLens) to cover AI outside the gateway's path.
• You need A2A (agent-to-agent) governance in the same gateway as LLM and MCP.
• You want a purpose-built AI gateway with security as the organizing principle rather than an API gateway extended with AI plugins.

Choose Apache APISIX if...

• You want a high-performance, fully open-source, vendor-neutral gateway governed by the Apache Software Foundation, with no license cost and no single-vendor lock-in.
• You already run APISIX for API management and want to extend it to AI traffic on the same platform.
• You value a large plugin ecosystem and dynamic, etcd-backed configuration that updates without restarts.
• You want AI security plugins that are open source rather than gated behind a commercial tier, and you have the engineering capacity to assemble and configure them.
• You want to turn existing OpenAPI services into governed MCP tools with per-consumer tool ACLs.
• You want the option of commercial support and enterprise management through API7 while keeping an open-source core.

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Final Verdict

Both are credible, open-source, self-hostable AI gateways, and on multi-LLM routing, token rate limiting, MCP governance, and standards-based observability they are genuinely comparable. Apache APISIX's advantages are performance, a mature and fully open-source plugin ecosystem, Apache Software Foundation neutrality, and zero license cost, with commercial support available through API7. TrustGate's advantages are first-party inline security enforcement, unified multi-protocol tracing that includes A2A with security findings in the same view, and a companion posture product.

The decision usually turns on two axes. The first is the security model: TrustGate treats a first-party Security Engine attachment as the gateway's reason for existing and delivers detection from a single security company, while APISIX delivers a plugin toolkit built from regex prompt guarding and external moderation integrations. The second is foundation and philosophy: APISIX is the natural choice for teams that prize a high-performance, community-governed, fully open-source gateway (and especially those already running APISIX), whereas TrustGate is a purpose-built, security-first AI gateway with a dedicated detection engine and posture companion.

A security-led buyer who wants a first-party enforcement substrate with multi-turn analysis, A2A coverage, and a dedicated posture companion will likely prefer TrustGate. A team that prioritizes open-source neutrality, raw performance, and a mature plugin ecosystem, especially one already invested in APISIX, will likely prefer Apache APISIX.

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Key Takeaways

• TrustGate's biggest differentiators are a first-party Security Engine (TrustGuard) with multi-turn analysis, unified multi-protocol tracing including A2A with inline security findings, and a companion posture product (TrustLens).
• Apache APISIX is a mature, high-performance, fully open-source API gateway (an ASF top-level project) that becomes an AI gateway through a set of AI plugins.
• APISIX's runtime security is plugin-based: regex allow/deny prompt guarding plus external moderation integrations (AWS Comprehend, Alibaba Cloud), not a first-party detection engine.
• All of APISIX's AI plugins are open source; there is no feature gate on AI security, though commercial API7 adds enterprise management and support.
• APISIX supports MCP through MCP-to-HTTP proxying, openapi-to-mcp, and per-consumer MCP tool ACLs; A2A is not a documented gateway feature.
• Neither gateway ships a large catalog of third-party pre-built MCP servers; both govern the servers you connect (APISIX can also generate MCP from OpenAPI).
• Both are Apache-2.0, self-hostable, and keep data inside the customer's infrastructure.
• The choice usually reduces to a first-party security-company gateway (TrustGate) versus a high-performance, community-governed, fully open-source gateway (Apache APISIX).

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Frequently Asked Questions about NeuralTrust vs Apache APISIX

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

TrustGate is a security-first, purpose-built AI gateway whose Security Engine (TrustGuard) attaches to every Route and which covers LLM, MCP, and A2A traffic with inline security findings. Apache APISIX is a mature, high-performance open-source API gateway (an Apache Software Foundation project) that becomes an AI gateway through AI plugins, with security delivered via regex prompt guarding and external moderation integrations.

2. Does TrustGate support on-prem or air-gapped deployment?

NeuralTrust positions managed and hybrid deployment, including VPC and air-gapped, at its enterprise tier, with an open-source self-hosted core.

3. Does TrustGate ship pre-built MCP servers?

No. NeuralTrust's documentation states TrustGate is not an MCP connectivity platform and does not ship a library of pre-built MCP integrations; it governs the servers the customer registers.

4. Which AI gateway is better for enterprise AI?

Neither is universally better. Security-led buyers wanting a first-party enforcement engine and multi-turn analysis tend toward TrustGate; teams prioritizing open-source neutrality, performance, and a mature plugin ecosystem tend toward Apache APISIX.

5. Does either gateway do AI posture management (AI-SPM)?

Not as a gateway feature. NeuralTrust offers a separate posture product (TrustLens) that covers AI outside the gateway's path; APISIX has no equivalent companion layer.

6. Is Apache APISIX fully open source?

Yes. Apache APISIX is a top-level project of the Apache Software Foundation, licensed under Apache 2.0, and its AI plugins are open source. A commercial company, API7.ai, offers enterprise distributions, management, and support built on APISIX, along with some additional plugins.

7. How does Apache APISIX handle runtime security?

Through plugins: ai-prompt-guard validates prompts against allow and deny regex patterns (and can inspect the full conversation history), and content-moderation plugins integrate external services such as AWS Comprehend and Alibaba Cloud to block toxic or non-compliant content above a threshold. It does not provide a first-party multi-turn behavioral detection engine.

8. Does Apache APISIX support MCP?

Yes. APISIX can bridge MCP-to-HTTP over Streamable HTTP transport, expose existing OpenAPI services as MCP tools via the openapi-to-mcp plugin, and enforce per-consumer MCP tool access control with the mcp-tools-acl plugin, applying the same auth, rate limiting, and observability as other traffic.

9. Does Apache APISIX govern agent-to-agent (A2A) traffic?

A2A is not a documented feature of the APISIX AI Gateway; its AI capabilities focus on LLM and MCP traffic. TrustGate covers A2A alongside LLM and MCP.

10. Which has better observability?

Both are strong. APISIX exposes AI metrics such as time to first token, token usage, and error rates, and integrates with OpenTelemetry, Prometheus, SkyWalking, and log exporters like ClickHouse and Elasticsearch. TrustGate emphasizes a single unified multi-protocol trace tree with cost, latency, and security findings attributed inline.

11. Which is more cost-effective?

Apache APISIX is fully open source with no license cost; you pay for your own infrastructure and, optionally, for commercial API7 support and enterprise features. TrustGate offers an open-source core with a commercial enterprise tier. In both cases, budget for the operational and infrastructure cost of running the gateway, not just licenses.

12. Do I need existing APISIX experience to use its AI Gateway?

It helps. The APISIX AI Gateway is a set of plugins on the APISIX platform, so AI governance depends on assembling and configuring the right plugins and operating APISIX (and etcd) well. Teams already running APISIX adopt it with low friction; teams new to APISIX should plan for ramp-up, or consider the commercial API7 offering for managed operation and support.

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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 Guardian Agents. Headquartered in Barcelona with ISO 27001 certification.