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NeuralTrust vs HAProxy is a comparison between two fundamentally different products that happen to share a category label. NeuralTrust TrustGate is a purpose-built AI gateway from a security company, designed so that runtime security enforcement is the reason the gateway exists.
The HAProxy AI Gateway is a set of AI-oriented capabilities added to HAProxy Enterprise (a load balancer and reverse proxy built for general web and API traffic) extended with prompt-aware rate limiting, WAF-based prompt inspection, and traffic metrics. That origin difference decides where each one falls short. An AI gateway is the single place where routing, policy, security enforcement, and observability attach to AI traffic.
The questions that matter for an enterprise buyer are whether the gateway understands AI, secures it natively, governs the tools agents call, and carries identity through to models and tools. On each of those dimensions, this NeuralTrust vs HAProxy comparison reveals a clear structural gap.
TL;DR
- Security model: TrustGate has a Security Engine that attaches to every Route and inspects each request before it reaches its target: security built into the gateway, not bolted on. HAProxy's AI protection is its WAF, rate limiting, and bot management: network security rather than AI-native detection.
- Session awareness: TrustGate maintains session memory and catches multi-turn attacks and abuse patterns that unfold across a conversation. HAProxy inspects one request at a time, a multi-turn jailbreak spread across several innocuous messages passes straight through.
- MCP governance: TrustGate ships a catalog of 200+ MCP tools and governs them with per-Consumer tool access and a unified audit trail. HAProxy only load balances traffic in front of MCP servers and governs no tools.
- Identity: TrustGate carries a Consumer identity through to models and MCP tools, per-Consumer model allowlists, tool access, and per-identity audit on every call. HAProxy's identity stops at gateway access and is handed off as a generic HTTP header.
- Open source: TrustGate's core is Apache 2.0. The HAProxy AI Gateway as marketed requires the commercial HAProxy Enterprise, the open-source community edition is the load balancer, not the AI gateway.
NeuralTrust vs. HAProxy: Feature Comparison at a Glance
| Capability | NeuralTrust | HAProxy |
|---|---|---|
| Open-source license | ✅ | ❌ |
| Flexible deployment (private, cloud) | ✅ | ✅ |
| Purpose-built for AI | ✅ | ❌ |
| Built-in security native | ✅ | ❌ |
| MCP catalog integrated | ✅ +200 | ❌ |
| Identity propagation to models & MCP | ✅ | ❌ |
| Enterprise readiness | ✅ | ❌ |
Platform Overview
What is NeuralTrust TrustGate?
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TrustGate is NeuralTrust's AI gateway, the one place where routing, policy, AI agent security, and observability attach across LLM providers, MCP servers, and other agents. 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.
TrustGate's defining architectural choice is that a Security Engine attaches to every Route. When attached, every request is inspected and an allow, block, or transform decision executes before the request reaches its target. Security findings appear as first-class spans in the same trace tree as operational telemetry, not a separate security dashboard. The gateway core is Apache 2.0 and open source; the governance layer, long-term retention, and security-finding depth are commercial.
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What is the HAProxy AI Gateway?
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HAProxy AI Gateway is not a standalone product, it is a set of AI-oriented capabilities delivered through HAProxy Enterprise and the HAProxy Fusion control plane. HAProxy's documented AI capabilities are rate limiting to control LLM token consumption, prompt-based routing where the HAProxy Enterprise WAF inspects prompts to influence routing decisions, and observability through HAProxy Fusion (150+ performance, security, and query-specific metrics).
The key point for any NeuralTrust vs HAProxy evaluation: the AI Gateway wraps prompt-aware controls around a reverse proxy and WAF designed for general web and API traffic. It reasons about AI as a specialized case of HTTP, not as AI. The AI-facing features require HAProxy Enterprise (commercial); the open-source HAProxy Community edition is the load balancer only, not the AI Gateway as marketed. Every limitation below follows from that starting point.
Open-source Licensing
In the NeuralTrust vs HAProxy comparison, open-source licensing is not a tie.
TrustGate's core is licensed under Apache 2.0 and free to self-host. A team can run the gateway, route LLM and MCP traffic through it, and operate it in production without a commercial license. The commercial enterprise tier adds managed and hybrid deployment, long-term retention, and governance depth, but the gateway itself is genuinely open source.
HAProxy cannot make the same claim for AI. The Community edition is open source, but the AI Gateway capabilities on HAProxy's own AI Gateway page: WAF-based prompt inspection, prompt-based routing, cluster-synchronized token rate limiting, and 150+ metrics in HAProxy Fusion are features of HAProxy Enterprise and HAProxy Fusion, both commercial products. Adopting the HAProxy AI Gateway as marketed means adopting the commercial platform. The open-source download is a load balancer; the AI layer is not included.
NeuralTrust vs HAProxy Security: Built-in vs Bolted-on
This is the sharpest dimension of the NeuralTrust vs HAProxy comparison, and it comes down to whether security is part of the gateway or assembled from outside.
How TrustGate Handles AI Security
Security is built into TrustGate, not sourced from an external service. The Security Engine attaches to every Route and inspects each request inline as part of the gateway itself. Detection runs in two layers:
- Policy Gates evaluate request context: consumer identity, session state, model, and protocol, and execute an allow, block, or reroute decision before any detection runs.
- Native detectors classify traffic that passes the gates, covering content security (jailbreak detection, toxicity, moderation, URL and document screening), data loss prevention (PII masking in flight and secret detection), behavioral security, and MCP tool security that scans tool definitions for planted attacks.
Two capabilities distinguish this from every WAF-based approach. First, native integration: enforcement and telemetry are one system, not external guardrail services bolted on. Second, session awareness: TrustGate maintains session memory and catches attacks that unfold across multiple turns, multi-turn jailbreaks and abuse patterns that only become visible over a conversation.
This directly addresses the multi-turn prompt injection risks identified in the OWASP Top 10 for LLM Applications, which no single-request filter can reliably catch. The NIST AI Risk Management Framework similarly requires continuous runtime monitoring for production AI systems, session-level detection is that requirement in practice.
How HAProxy Handles AI Security
HAProxy's AI security is its existing security stack pointed at AI traffic: the HAProxy Enterprise WAF, DDoS protection and rate limiting, and bot management. That stack protects an endpoint against abuse, flooding, and malformed traffic, but it does not inspect AI content or behavior. The WAF checks prompts as web payloads against WAF rules.
There is no jailbreak classification, no model-aware toxicity or moderation scoring, no PII detection tuned for LLM inputs and outputs, and no inspection of MCP tool-call traffic for tampering. HAProxy has no notion of a session, so a multi-turn attack that stays innocuous request-by-request passes straight through. It hardens the transport. It cannot see the attack that lives inside a well-formed prompt, a multi-turn conversation, or a poisoned tool definition.
NeuralTrust vs HAProxy: MCP Catalog and Tool Governance
MCP governance is where the NeuralTrust vs HAProxy gap is most operationally significant for teams building agentic AI. TrustGate ships a catalog of 200+ MCP tools and governs the MCP traffic that flows through it. Governance runs through the same Consumer model as the rest of the gateway:
- Per-Consumer tool access: controls which identity may invoke which tool
- Unified audit trail every tool invocation is traced: which tool, which arguments, which Consumer, which result, and at what cost
- Native MCP security: inspects tool definitions for planted attacks, extending runtime protection to the MCP layer
HAProxy's relationship to MCP is that of a load balancer. Per HAProxy's own materials, HAProxy One can sit in front of MCP servers to load balance incoming traffic and apply WAF and bot-management protections so requests do not overwhelm those servers. There is no catalog of MCP tools, no per-Consumer control over which tools an identity may call, and no per-tool audit of invocations.
HAProxy moves and shields MCP traffic at the network level while remaining blind to what tools are exposed or who is using them, which is exactly the governance question enterprises need answered. For a deeper look at how tool governance fits into broader AI agent oversight, see NeuralTrust's agent posture management approach.
Identity Propagation to Models & MCP
Both products authenticate users, but only one carries that identity into the AI layer.
HAProxy Enterprise authenticates users to the gateway through its SAML and OpenID Connect modules and can forward identity claims to backends as HTTP headers. That is where the identity stops.
HAProxy has no model that binds identity to AI traffic: no per-Consumer control over which model or which MCP tool a given identity may call, and no per-identity audit of model and tool usage. The identity gets a user through the front door of the gateway and is handed off as a generic header.
In TrustGate, the Consumer is a first-class identity object that travels with the request into the AI layer:
- Model and vendor allowlists and blocklists are enforced per Consumer
- MCP tool access is granted per Consumer
- Every LLM call and tool invocation is attributed to a Consumer in the audit trail
The same identity that authenticates at the edge governs which model it may reach, which tools it may call, and appears on every trace and security finding. HAProxy authenticates access to a gateway; TrustGate carries a governed identity through to the individual models and tools the gateway fronts.
NeuralTrust vs HAProxy: When to Choose Each
Choose NeuralTrust TrustGate if:
- You need AI-native security built into the gateway (jailbreak detection, moderation, PII masking, session-level multi-turn threat detection) not WAF rules pointed at prompts
- You need MCP tool governance with per-Consumer access controls and a unified audit trail across tool invocations
- You need Consumer identity propagated through to models and MCP tools with per-identity policy enforcement
- You want an Apache 2.0 open-source core you can run in production without a commercial contract
- You are subject to compliance frameworks requiring continuous AI runtime monitoring (SOC 2, ISO 27001, EU AI Act)
- You want security findings inline in the same operational trace
Choose HAProxy if:
- You already run HAProxy for load balancing, API management, or WAF and want AI traffic added to the same proven platform
- Your AI security requirements center on WAF-based prompt filtering, token rate limiting, and bot management, not AI-native detection or MCP governance
- You need best-in-class raw performance and proven scale at extreme traffic volumes
- You are comfortable adopting the commercial HAProxy Enterprise for the AI gateway capabilities
- Your MCP footprint does not require per-Consumer tool governance or per-invocation auditing
NeuralTrust vs. HAProxy: Final Verdict
This NeuralTrust vs HAProxy comparison reveals products built for different jobs that share a category name.
The HAProxy AI Gateway is a load balancer extended into AI, and its limits follow directly from that origin: it protects the transport with a WAF rather than inspecting AI content and behavior; it has no session awareness so multi-turn attacks pass through; it load balances MCP traffic rather than governing tools; identity stops at gateway access; and its AI features require the commercial HAProxy Enterprise rather than an open-source core. It routes and hardens AI endpoints. It cannot understand or enforce policy on what flows through them.
TrustGate is a purpose-built AI gateway from a security company. Security is built into the gateway rather than assembled from external services. It understands sessions and catches multi-turn attacks. It ships 200+ MCP tools and governs them per-Consumer with a unified audit trail. It carries a governed identity through to the models and tools it fronts. And its core is Apache 2.0.
For a buyer whose requirement is to understand and enforce policy on AI traffic, TrustGate is the AI-native control layer, and HAProxy is a network layer that was never built for the job.
Frequently Asked Questions about NeuralTrust vs HAProxy's AI Gateway:
1. What is the difference between NeuralTrust TrustGate and the HAProxy AI Gateway?
TrustGate is a purpose-built AI gateway from a security company, with AI-native security built into the gateway, a 200+ MCP tool catalog and per-Consumer governance, governed Consumer identity propagation, and an Apache 2.0 open-source core. The HAProxy AI Gateway extends HAProxy Enterprise (a load balancer and reverse proxy) with token rate limiting, WAF-based prompt inspection, and traffic metrics. One is built for AI traffic; the other is infrastructure adapted to it.
2. Is the HAProxy AI Gateway open source?
No. The HAProxy Community edition load balancer is open source, but the AI Gateway capabilities as marketed (WAF-based prompt inspection, prompt-based routing, cluster-synchronized token rate limiting, and observability in HAProxy Fusion) are features of the commercial HAProxy Enterprise and HAProxy Fusion. TrustGate's gateway core is Apache 2.0 and free to self-host.
3. Does the HAProxy AI Gateway provide AI-native security?
No. HAProxy protects AI endpoints with its WAF, DDoS protection, rate limiting, and bot management, network and application security. It does not provide AI-native runtime detection such as jailbreak classification, model-aware moderation, LLM-tuned PII detection, or MCP tool-call inspection. It also has no session awareness to catch multi-turn attacks. TrustGate builds this security natively into the gateway with session memory that detects abuse and jailbreaks unfolding across multiple turns.
4. How does each product handle MCP governance?
TrustGate ships a catalog of 200+ MCP tools and governs MCP traffic with per-Consumer tool access, a unified audit trail of every tool invocation, and native inspection of tool definitions for planted attacks. HAProxy can only sit in front of MCP servers to load balance and protect incoming traffic, no MCP tool catalog, no per-Consumer tool access, and no per-tool audit.
5. Does HAProxy propagate identity to models and MCP tools?
No. HAProxy Enterprise authenticates users to the gateway via SAML and OpenID Connect and can forward identity claims as HTTP headers, but it has no model binding that identity to AI traffic, no per-Consumer control over which model or MCP tool an identity may call, and no per-identity audit. In TrustGate, the Consumer identity governs model and vendor allowlists, per-Consumer MCP tool access, and per-identity audit on every LLM call and tool invocation.
6. Can HAProxy detect multi-turn prompt injection attacks?
No. HAProxy inspects one request at a time using its WAF. It has no session memory, so an adversarial pattern spread deliberately across several innocuous-looking messages passes through undetected. TrustGate maintains session memory and detects attacks that only become visible over a conversation, a critical capability for addressing OWASP LLM Top 10 risks including prompt injection and insecure plugin design.
7. Is NeuralTrust TrustGate open source?
Yes. TrustGate's core is licensed under Apache 2.0. Teams can run the gateway, route LLM and MCP traffic through it, and operate it in production without a commercial license. The enterprise tier adds managed and hybrid deployment (VPC, air-gapped), long-term retention, and governance depth.
8. Which is better for teams already running HAProxy?
HAProxy is the natural extension if your team already operates HAProxy for load balancing, API management, or WAF, and your AI security requirements are WAF-based prompt filtering and token rate limiting. If you need AI-native detection, MCP governance, or identity propagation into the AI layer, TrustGate is purpose-built for those requirements and both products can coexist at different layers of the stack.
9. Does NeuralTrust TrustGate support air-gapped or on-premises deployment?
Yes. TrustGate's core is Apache 2.0 and fully self-hostable with no external dependencies. Air-gapped and VPC deployment are supported at the enterprise tier, making it suitable for regulated industries, government, and financial services environments where data cannot leave the customer's own infrastructure. HAProxy also supports on-premises deployment, but its AI Gateway capabilities require HAProxy Enterprise and HAProxy Fusion, both commercial products.
10. How does HAProxy control AI token costs, and how does TrustGate compare?
HAProxy controls token consumption through rate limiting enforced via its Global Profiling Engine, which synchronizes limits consistently across active/active clusters using stick tables, preventing any single client from exceeding token-per-minute or token-per-day quotas even under load balancing. It also supports prompt-based routing that can direct simpler queries to cheaper models based on prompt content. TrustGate applies token and cost caps at the Consumer and Route level, with every call's token usage attributed to a specific Consumer in the audit trail so cost is visible per identity, per model, and per route.
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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.
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