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This NeuralTrust vs TrueFoundry comparison frames an important distinction: both govern LLM, MCP, and agent traffic for the enterprise, but they are built on different foundations and answer to different priorities.
TrustGate is a purpose-built AI gateway from a security company, open source at its core, where runtime security enforcement is the reason the gateway exists. TrueFoundry is a proprietary, Kubernetes-native platform whose gateway is one layer of a larger stack, with security delivered as configurable guardrails and identity handled through RBAC and an external IdP.
The gap shows on the questions that decide an enterprise security outcome: whether the gateway can be run and audited as open source, whether its security reasons over a conversation or only a single request, whether MCP tooling and governance are present on day one, whether organizational identity is established and enforced, and whether the audit trail is cryptographically verifiable.
On each of these, TrueFoundry is limited by what it was built to be: a broad AI platform rather than a security-first gateway.
TL;DR
- TrustGate is open source at its core (Apache 2.0); the TrueFoundry gateway is proprietary, self-hostable in a VPC but not open for a team to run and audit without a commercial relationship.
- TrustGate's security runs natively with full conversation context, delivering multi-turn and behavioral detection; TrueFoundry's guardrails evaluate each request in isolation, with no documented multi-turn behavioral engine.
- TrustGate ships 200+ MCP tools built in, while TrueFoundry offers only a handful of pre-built servers plus bring-your-own and virtual MCP servers.
- TrustGate adds organization-level identity governance, a cryptographic audit trail, and a federated multi-gateway control plane, none of which TrueFoundry provides in those forms.
NeuralTrust vs TrueFoundry: Comparison at a Glance
| Capability | NeuralTrust | TrueFoundry |
|---|---|---|
| Open-source license | ✅ | ❌ |
| Native runtime AI security | ✅ | ❌ |
| MCP catalog integrated | ✅ +200 | ❌ |
| Org domain verification | ✅ | ❌ |
| Cryptographic audit trail | ✅ | ❌ |
| Federated multi-gateway control plane | ✅ | ❌ |
| Enterprise readiness | ✅ | ❌ |
NeuralTrust vs TrueFoundry: Platform Overview
What is NeuralTrust TrustGate?
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TrustGate is NeuralTrust's AI gateway. It sits between agents and the services they call, meaning LLM providers, MCP servers, and other agents, and is the one 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.
TrustGate's defining design choice is that a Security Engine attaches to every Route, and it runs natively inside the gateway rather than as a set of external services. Every request is inspected and an allow, block, or transform decision is executed before the request reaches its target, with security findings rendered as first-class spans in the same trace tree as operational telemetry. This is the architectural consequence of being the only AI gateway built by a security company. The gateway core is Apache 2.0 and open source; the governance layer, long-term retention, and security-finding depth are commercial.
NeuralTrust holds ISO 27001 certification and was recognised in the Gartner 2025 Market Guide for AI Gateways and Guardian Agents, and named a Leader in the KuppingerCole 2025 Leadership Compass for Generative AI Defense.
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What is the TrueFoundry AI Gateway?
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TrueFoundry is a proprietary, Kubernetes-native AI platform. Its AI Gateway is one component of a broader stack that also handles model deployment, fine-tuning, MCP server hosting, and agent execution, and it is offered as SaaS or self-hosted in a VPC, on-prem, or air-gapped environment. As a gateway it provides a unified OpenAI-compatible API across many model providers, routing and fallbacks, rate limiting and budget controls, observability, and configurable guardrails.
The gateway's security and identity are assembled from platform features rather than built as a first-party security engine: guardrails run as configurable hooks that can call external moderation and PII services, identity runs through RBAC and an external IdP, and audit is provided as request logging and tracing. That breadth is the point of the product, and also the reason its security depth, MCP tooling, and identity governance fall short of a gateway built specifically to secure AI traffic, as the sections below set out.
NeuralTrust vs TrueFoundry: Open-source License
TrustGate's core is licensed under Apache 2.0 and is free to self-host, with a commercial enterprise tier adding managed and hybrid deployment, long-term retention, and governance depth. A team can run the gateway, route LLM and MCP traffic through it, inspect the code, and operate it in production without a commercial relationship.
TrueFoundry's gateway is proprietary. It can be deployed as SaaS or self-hosted inside a VPC, on-prem, or air-gapped, which keeps data in the customer's network, but self-hostable is not the same as open source: there is no open codebase a team can read, audit, or run independently of a commercial agreement. For organizations whose procurement or security review requires an auditable, open data plane, that is a hard constraint, and it is one TrustGate does not impose.
NeuralTrust vs TrueFoundry: Native Runtime AI Security
In TrustGate, security is built into the gateway and runs with full conversation context. A Security Engine (TrustGuard) attaches to every Route and inspects each request inline, as part of the gateway rather than as an external service the operator has to source and stitch in.
Because the gateway understands sessions and keeps session memory, it detects attacks that unfold across multiple turns, meaning multi-turn jailbreaks, gradual manipulation, and behavioral drift that only become visible over the course of a conversation.
Inspection runs in two layers: Policy Gates evaluate request context such as consumer identity, session, model, and protocol and decide whether to allow, block, or reroute, and native detectors then classify traffic for jailbreaks, toxicity, PII and secret leakage, anomalous behavior, and tampered MCP tool definitions.
TrueFoundry's security is a set of configurable guardrails arranged as hooks on the request path, covering LLM input and output and MCP pre-tool and post-tool stages, with built-in PII, PHI, and secrets detection that can also call out to external moderation services.
Every check is oriented to a single request: it evaluates the prompt or response in front of it, with no documented multi-turn behavioral engine and no memory of what the agent has been doing across a conversation.
An attack that stays benign turn by turn and only becomes malicious in aggregate is not something this model is built to catch. The result is a per-request safety layer assembled from hooks and external services, rather than continuous, context-aware detection built by a security company.
NeuralTrust vs TrueFoundry: MCP Catalog Integrated
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 entity may invoke which tool, and every invocation is traced into a unified audit trail capturing which tool, which arguments, which Consumer, which result, and at what cost. Because the tools ship with the gateway, governance and security apply from the day it is deployed.
TrueFoundry offers only a small set of pre-built MCP servers, such as Slack, GitHub, Confluence, and Datadog, alongside bring-your-own registration and virtual MCP servers. There is no catalog of comparable breadth. An enterprise that needs governed access to a wide range of tools must source, configure, and register most of them itself before governance applies, which pushes a substantial integration effort onto the customer. TrustGate removes that work: the 200+ catalog is present on day one, and the governance and security posture is complete from the start rather than at the end of a long integration project.
NeuralTrust vs TrueFoundry: Org Domain Verification
TrustGate governs organizational identity at the level of the domain. Through org domain verification, an organization proves ownership of its email domain, and membership is then governed automatically by that verified domain: who belongs to the organization, and therefore who is subject to its policies, is tied to a proven identity boundary rather than to manual invitations or external assumptions. This gives security and platform teams a reliable anchor for who is inside the organization before any model or tool access is granted.
TrueFoundry has no equivalent. Identity is handled through RBAC and an external identity provider, and the gateway trusts the claims that provider asserts; there is no concept of a verified organizational domain owned and governed within the gateway, and no automatic, domain-based membership governance. Organizational identity is consumed from elsewhere rather than established and enforced by the gateway itself, which leaves a gap exactly where enterprises want a firm answer to who belongs.
NeuralTrust vs TrueFoundry: Cryptographic Audit Trail
TrustGate keeps a cryptographic audit trail: a tamper-evident record of activity, tied to the same Consumer identity that governs model and tool access, so every entry is attributable to a verified identity end to end. For compliance and incident response, that means the record itself can be trusted to have not been altered.
TrueFoundry provides audit logging and request-level tracing, with logs stored in open formats, but this is not described as a cryptographically verifiable trail. Logging and tracing capture what happened; a cryptographic audit trail additionally proves the record has not been tampered with. For regulated environments where the integrity of the audit record must be demonstrable, standard logging is a weaker guarantee than a tamper-evident, cryptographically anchored trail, and that is the difference between the two here.
NeuralTrust vs TrueFoundry: Federated Multi-gateway Control Plane
TrustGate provides a federated control plane that governs multiple gateways across environments and regions, each independently managed under central policy. Policies, consumers, and security configuration are defined once and applied consistently wherever the gateways run, so a security team governs its whole estate as one system rather than reconciling configuration deployment by deployment.
TrueFoundry documents multi-region gateway deployment, but running gateways in several regions is not the same as an independently managed, federated control plane across them. The model is one platform deploying to multiple regions, rather than a federation of separately governed gateways coordinated under a single control layer. An organization that needs per-region autonomy under unified central governance, rather than a single platform stretched across regions, reaches the edge of what TrueFoundry describes, which is a boundary TrustGate is built to cross.
NeuralTrust vs TrueFoundry: Final Verdict
TrueFoundry is a broad, Kubernetes-native AI platform, and its gateway inherits both the reach and the limits of that scope. It is proprietary rather than open source, so it cannot be run and audited as an open data plane. Its security is a per-request guardrail layer assembled from hooks and external services, with no multi-turn behavioral detection. It ships only a handful of MCP servers and pushes the rest onto the customer. It has no verified organizational domain, its audit trail is logging rather than a cryptographically verifiable record, and its multi-region deployment is not an independently managed federation. The platform does many things; securing AI traffic in depth is not the one it was built around.
TrustGate is built by a security company, and it is open source at its core. Security runs natively with full conversation context, delivering multi-turn and behavioral detection rather than single-request checks. It ships 200+ MCP tools so governance applies on day one, it establishes and enforces organizational identity through verified domains, it keeps a cryptographic audit trail anchored to that identity, and its federated control plane governs gateways across regions under unified policy. For an enterprise whose requirement is to secure and govern agentic AI, TrustGate is the security-first gateway where TrueFoundry is a general platform with a gateway attached.
For a broader view of how TrustGate fits into runtime AI governance, see NeuralTrust's TrustLens and AI red teaming capabilities.
Frequently Asked Questions between NeuralTrust vs TrueFoundry:
1. What is the difference between NeuralTrust TrustGate and the TrueFoundry AI Gateway?
TrustGate is an open-source, security-first AI gateway built by a security company, with native runtime security, a 200+ MCP tool catalog, organizational identity governance, a cryptographic audit trail, and a federated control plane. TrueFoundry is a proprietary, Kubernetes-native AI platform whose gateway is one layer among model deployment, MCP hosting, and agent execution, with per-request guardrails, a small set of pre-built MCP servers, and IdP-based identity.
2. Is the TrueFoundry AI Gateway open source?
No. The TrueFoundry gateway is proprietary. It can be run as SaaS or self-hosted in a VPC, on-prem, or air-gapped environment, which keeps data in the customer's network, but there is no open codebase to read, audit, or run independently of a commercial agreement. TrustGate's gateway core is Apache 2.0 and free to self-host.
3. How does each gateway handle AI security?
TrustGate runs security natively inside the gateway with session memory, performing multi-turn and behavioral detection that catches attacks building up across a conversation. TrueFoundry applies configurable guardrails as hooks on LLM input and output and MCP tool stages, with PII, PHI, and secrets detection, but each check is per-request and there is no documented multi-turn behavioral engine.
4. Does TrueFoundry include a catalog of MCP tools?
Not at comparable scale. TrueFoundry offers a small set of pre-built MCP servers such as Slack, GitHub, Confluence, and Datadog, plus bring-your-own and virtual MCP servers, so most tools must be sourced and registered by the customer. TrustGate ships 200+ MCP tools, so governance and security apply from the day the gateway is deployed.
5. Does TrueFoundry provide a cryptographic audit trail?
TrueFoundry provides audit logging and request-level tracing with logs in open formats, but this is not described as cryptographically verifiable. TrustGate keeps a tamper-evident cryptographic audit trail anchored to the same verified identity that governs model and tool access, which is a stronger guarantee for regulated environments where the integrity of the record must be demonstrable.
6. Does NeuralTrust detect MCP tool poisoning, and does TrueFoundry?
Yes. TrustGate's native detectors classify tampered MCP tool definitions — inspecting a tool's name, description, and parameter schema for planted content — and can patch a poisoned definition at the gateway before it reaches the model, without waiting on the third-party server's release cycle. This attack class is tracked in the OWASP MCP Top 10. TrueFoundry's guardrails operate on LLM inputs, outputs, and MCP tool call stages, but there is no documented capability to inspect or patch a tool's own definition for planted instructions.
7. Which compliance frameworks does NeuralTrust support?
TrustGate's architecture maps to SOC 2 Type II, ISO 27001 (NeuralTrust holds the certification), the EU AI Act's transparency and logging requirements, and the NIST AI Risk Management Framework's continuous monitoring controls. Its native SIEM export to Microsoft Sentinel, Splunk, IBM QRadar, Datadog, and Elastic means compliance evidence flows into existing GRC tooling automatically. TrueFoundry provides audit logging and tracing but does not describe a native path into enterprise SIEM tooling.
8. How do the two gateways compare on SIEM integration?
TrustGate exports natively to Microsoft Sentinel, Splunk, IBM QRadar, Datadog, and Elastic, with OpenTelemetry as the standard format and a generic webhook for any other destination. Security findings, blocked requests, and Consumer-attributed audit events flow into the SOC's existing pipeline without custom integration. TrueFoundry provides observability and request logging but no named SIEM destinations — getting its events into a SIEM requires building that integration on top of generic logging exports.
9. Does NeuralTrust support air-gapped or fully on-premises deployment?
Yes. TrustGate deploys on-premises with no external calls required, keeping all data within the customer's infrastructure. This is a common requirement for regulated industries and government deployments. TrueFoundry also supports air-gapped, self-hosted deployment, so both products meet that baseline. The difference is that TrustGate is open source and auditable in an air-gapped environment; TrueFoundry remains proprietary regardless of deployment location.
10. Can teams migrate from TrueFoundry to NeuralTrust TrustGate?
Yes. TrustGate exposes an OpenAI-compatible LLM endpoint and standard MCP interfaces, so migrating the routing layer means redirecting traffic rather than rewriting application code. The migration work sits in mapping TrueFoundry's RBAC and IdP-based identity into TrustGate's Consumers and Policies model, moving guardrail configuration into TrustGate's Security Engine, and connecting the 200+ MCP catalog in place of TrueFoundry's registered servers. Teams that have built on TrueFoundry's model deployment and fine-tuning features will need to separate those workloads, as TrustGate is a gateway rather than a full ML platform.
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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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