NeuralTrust vs Zuplo: Which AI Gateway Is Best for Enterprise AI Security?

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 Zuplo 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 Zuplo put LLM and MCP traffic behind a governed gateway and can be deployed inside a customer's own infrastructure.

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. Zuplo is a programmable API gateway and API-management platform whose AI Gateway runs on the same policy engine, auth modules, and GitOps pipeline as its REST and MCP APIs, so AI traffic is governed like any other API. 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. Zuplo's built-in AI security is policy-based (prompt-injection and secret-masking policies), with deeper detection (data loss prevention, toxicity, adversarial defense) delivered through an optional Akamai AI Firewall integration rather than a first-party engine.
• NeuralTrust offers a companion posture product (TrustLens) that discovers and assesses AI running outside the gateway's path, a layer Zuplo 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.
• Zuplo is a mature, programmable API-management platform whose AI Gateway is one product alongside its API Gateway and a dedicated MCP Gateway. Its standout strengths are hierarchical dollar budgets, TypeScript-programmable policies, edge deployment across 300+ locations, and drop-in OpenAI-SDK compatibility.
• Zuplo is candid about prompt injection, framing it as something you mitigate rather than eliminate, and layering detection, tool allowlists, scoped credentials, and output validation.
• Zuplo governs LLM and MCP traffic with a strong MCP Gateway (virtual per-team servers, tool allowlists, auth translation) and multi-provider routing across OpenAI, Anthropic, Gemini, and Mistral.
• Both keep data inside the customer's infrastructure via self-hosted or dedicated deployment, and both reserve their deepest value in enterprise deployment.

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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 Zuplo AI Gateway?

Zuplo is a programmable API gateway and API-management platform, and its AI Gateway is one product within that platform, running on the same policy engine, auth modules, and GitOps pipeline as its REST APIs and its dedicated MCP Gateway. The pitch is unification: put every LLM call, agent, and MCP server behind the same gateway as your APIs, with one bill and one control plane.

As an AI gateway, Zuplo provides multi-provider routing (OpenAI, Anthropic, Gemini, Mistral) through one endpoint with drop-in OpenAI-SDK compatibility (swap the base URL, keep the SDK), semantic caching by vector similarity, and auto-failover. Its standout governance feature is hierarchical dollar budgets: nested organizations, teams, sub-teams, and apps each with daily and monthly USD limits that cascade top-down, with hard stops (429s) before overspend. Security is delivered through policies (prompt-injection and secret-masking) and an optional Akamai AI Firewall integration, reflecting Zuplo's Akamai partnership. Policies are written in TypeScript with the full npm ecosystem, and configuration lives in Git.

Deployment is flexible: managed edge across 300+ locations, managed dedicated single-tenant on AWS, Azure, GCP, or Akamai, or self-hosted on Kubernetes, all on the same runtime. Zuplo is SOC 2 Type II audited.

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Architecture Comparison

Both are software gateways that centralize AI traffic and apply policy at the edge of the request path.

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.

Zuplo is a programmable, edge-native API gateway. Its distinguishing architectural trait is that the AI Gateway is not a standalone box but a set of policies on the same runtime that governs REST and MCP traffic, with checks running inside the gateway runtime across 300+ edge data centers (no Envoy filter, sidecar, or Helm chart to maintain, per Zuplo). Policies are TypeScript functions, tested like code and stored in Git (GitOps). This makes Zuplo especially natural for teams that want AI traffic to inherit the exact same auth, validation, rate limiting, and audit as their existing APIs. The trade-off is orientation: Zuplo's center of gravity is API management extended to AI, so its deepest AI security (beyond the built-in policies) comes from the Akamai AI Firewall integration rather than a native 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.

Zuplo provides built-in AI security policies: a prompt-injection policy that detects known malicious-instruction patterns at the input, and a secret-masking-outbound policy that redacts API keys, emails, and other sensitive values. For deeper detection, Zuplo integrates the optional Akamai AI Firewall, which adds prompt-injection defense, data loss prevention, toxic-content filtering, adversarial-AI protection, and denial-of-service mitigation using Akamai's threat intelligence. Zuplo is refreshingly candid that prompt injection is mitigated, not eliminated, and it emphasizes a layered approach: detect known patterns, constrain agency through tool allowlists and scoped credentials so a successful injection has limited blast radius, validate outputs, and log every blocked attempt. The distinction for a security buyer: Zuplo's own security is pattern-based policies, and its deepest content detection is a partner integration (Akamai) rather than a first-party engine, and multi-turn behavioral analysis is not positioned as a dedicated native capability.

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. Zuplo offers built-in pattern policies plus a strong optional partner firewall (Akamai) and an honest, layered mitigation philosophy. Which fits depends on whether the buyer wants a dedicated security-company detection stack or a programmable API platform with pattern policies and a best-of-breed firewall partner.

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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 Zuplo, estate-wide AI discovery and posture assessment is not a documented capability; Zuplo is candid that stopping developers from bypassing the gateway to call providers directly is a network-egress and IAM problem that no AI gateway alone fully solves, positioning itself as the enforcement point and key vault while the network side is covered by its Akamai partnership.

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 Zuplo has no equivalent companion layer for discovering ungoverned AI across the estate.

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AI Governance

Zuplo's governance strengths are its hierarchical dollar budgets (nested caps that cascade and constrain each other, with hard 429s before the bill arrives) and its programmable, GitOps-native policy model, where security posture is reviewable in Git rather than self-reported. It offers project-level RBAC, SSO/SCIM on enterprise, per-agent keys, and scoped credentials, plus auth translation that keeps privileged downstream credentials out of the model's hands. TrustGate similarly reserves SSO/SAML, RBAC, and long-term retention for its enterprise tier. For a security review, both deliver enterprise governance; Zuplo's differentiator is cost governance and programmability, while TrustGate's is security findings as first-class spans in the trace.

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MCP & Tool Governance

Both products have a strong MCP story, and Zuplo ships a dedicated MCP Gateway.

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.

Zuplo provides a dedicated MCP Gateway that publishes virtual MCP servers exposing only the tools each team is approved to use, so a model cannot see anything outside its allowlist. It can turn any API into a remote MCP server or govern third-party MCP servers behind a single managed gateway, with auth translation (privileged downstream credentials never reach the model), per-team isolation (for example Finance gets Stripe and QuickBooks tools, Engineering gets GitHub and Linear), RBAC on the audit log, and full logging of every tool invocation with caller identity, inputs, tool name, latency, tokens, cost, and outcome. Zuplo notes that for agent workloads the tool-call audit matters more than the LLM-call view: you see what the agent did, not just what it said.

Neither product ships a large managed catalog of third-party pre-built MCP servers as the gateway's core value, though Zuplo can generate MCP servers from your APIs and govern third-party servers. 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.

Zuplo logs every LLM call and every MCP tool invocation with caller identity, inputs, tool name, latency, tokens, cost, and outcome, and streams traces to Galileo, Comet Opik, or any OpenTelemetry collector, as well as to a customer SIEM. It also scrubs sensitive fields at the logging-pipeline layer before shipping outbound. This is flexible, integration-friendly observability, with a useful emphasis on tool-call auditing for agent workloads.

The practical difference is emphasis: TrustGate centers a unified multi-protocol trace with security findings inline in the same view; Zuplo offers per-call and per-tool logging that streams into the observability and SIEM tools an enterprise already runs.

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Deployment

Zuplo's deployment flexibility is a strength: the same runtime and configuration across managed edge (300+ locations), managed dedicated single-tenant on major clouds including Akamai, or self-hosted on Kubernetes. TrustGate positions air-gapped and hybrid at its enterprise tier and keeps data inside the customer's perimeter. Both suit data-residency-sensitive buyers; Zuplo's edge footprint and single-tenant dedicated options are distinctive, while TrustGate's open-source self-hosted core with an attachable security engine is its own model.

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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 built-in pattern policies plus a partner firewall.
• 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 want A2A (agent-to-agent) governance treated as a first-class protocol alongside LLM and MCP.
• You want a purpose-built AI gateway with security as the organizing principle rather than an API platform extended to AI.

Choose Zuplo if...

• You want AI traffic governed on the same programmable platform as your REST and MCP APIs, with one policy engine, one bill, and one pane of glass.
• Cost governance is a priority and you need hierarchical dollar budgets at org, team, sub-team, and app level with hard stops before overspend.
• You value TypeScript-programmable policies and a GitOps workflow where security posture is reviewable in Git.
• You want edge deployment across 300+ locations or managed dedicated single-tenant on AWS, Azure, GCP, or Akamai.
• You want a dedicated MCP Gateway with virtual per-team servers, tool allowlists, and auth translation, and you value drop-in OpenAI-SDK compatibility.
• You are comfortable pairing Zuplo's built-in policies with the Akamai AI Firewall for deeper AI-specific detection.

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Final Verdict

Both are credible AI gateways that keep data inside the customer's infrastructure, and on multi-provider routing, MCP governance, semantic caching, and integration-friendly observability they are genuinely comparable. Zuplo's advantages are its unification of AI with a mature programmable API platform, best-in-class hierarchical dollar budgets, TypeScript/GitOps policies, an edge footprint across 300+ locations, and a dedicated MCP Gateway. 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 Zuplo provides built-in pattern policies plus an optional Akamai AI Firewall for deeper detection, with an explicit mitigate-not-eliminate philosophy. The second is platform philosophy: Zuplo is the natural choice for teams that want AI governed identically to their APIs on one programmable, GitOps-native platform, 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, first-class A2A, and a dedicated posture companion will likely prefer TrustGate. A team that wants to govern AI on the same programmable API platform as its REST and MCP traffic, with strong cost controls and edge deployment, will likely prefer Zuplo.

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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).
• Zuplo is a programmable API-management platform whose AI Gateway runs on the same policy engine as its REST and MCP APIs, unifying governance, billing, and audit.
• Zuplo's standout strengths are hierarchical USD budgets, TypeScript/GitOps policies, edge deployment across 300+ locations, and a dedicated MCP Gateway.
• Zuplo's built-in AI security is pattern-based (prompt-injection and secret-masking policies); deeper detection comes from the optional Akamai AI Firewall, not a first-party engine.
• Zuplo is candid that prompt injection is mitigated, not eliminated, and layers detection, tool allowlists, scoped credentials, and output validation.
• Neither gateway ships a large catalog of third-party pre-built MCP servers; both govern the servers you connect (Zuplo can also generate MCP from your APIs).
• Both keep data inside the customer's infrastructure via self-hosted or dedicated deployment; Zuplo adds an edge footprint and single-tenant dedicated options.
• The choice usually reduces to a first-party security-company gateway (TrustGate) versus AI governed on a programmable API platform (Zuplo).

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Frequently Asked Questions about NeuralTrust vs Zuplo

1. What is the difference between NeuralTrust TrustGate and Zuplo?

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. Zuplo is a programmable API-management platform whose AI Gateway runs on the same policy engine as its REST and MCP APIs, with AI security delivered through built-in pattern policies plus an optional Akamai AI Firewall.

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 wanting AI governed on the same programmable platform as their APIs, with strong cost controls, tend toward Zuplo.

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; Zuplo has no equivalent companion layer and is candid that preventing gateway bypass is a network-egress and IAM problem no gateway alone fully solves.

6. How does Zuplo handle runtime security?

Through built-in policies (a prompt-injection policy and a secret-masking-outbound policy) plus an optional Akamai AI Firewall integration that adds prompt-injection defense, data loss prevention, toxic-content filtering, and adversarial-AI protection. Zuplo frames prompt injection as something to mitigate, not eliminate, and layers detection with tool allowlists, scoped credentials, and output validation.

7. Does Zuplo support the Model Context Protocol (MCP)?

Yes. Zuplo ships a dedicated MCP Gateway that publishes virtual per-team MCP servers exposing only approved tools, can turn any API into a remote MCP server or govern third-party servers, applies auth translation and RBAC, and logs every tool invocation.

8. How does Zuplo control AI costs?

Through hierarchical dollar budgets at organization, team, sub-team, and app level that cascade and constrain each other, with hard stops (429s) before overspend, plus per-consumer quotas and semantic caching. Sub-team budgets cannot exceed the parent ceiling.

9. Where can Zuplo be deployed?

On managed edge across 300+ locations, as a managed dedicated single-tenant deployment on AWS, Azure, GCP, or Akamai, or self-hosted on Kubernetes, all on the same runtime and configuration.

10. Does Zuplo govern agent-to-agent (A2A) traffic?

Zuplo governs agent and MCP traffic and emphasizes tool-call auditing for agents, but A2A is not called out as a named first-class protocol in its AI Gateway materials. TrustGate covers A2A alongside LLM and MCP.

11. Which has better observability?

Both are strong. Zuplo logs every LLM call and MCP tool invocation with identity, inputs, latency, tokens, cost, and outcome, streaming to Galileo, Comet Opik, any OTel collector, and a SIEM. TrustGate emphasizes a single unified multi-protocol trace tree with cost, latency, and security findings attributed inline.

12. Is there a free tier?

Zuplo offers a free developer tier, with the same signup as its API Gateway, and paid enterprise deployment options. 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.

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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.