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The NeuralTrust vs Solo.io comparison starts from an unusual premise: both gateways are open source, both are AI-native, and both govern LLM, MCP, and agent traffic, which makes the real question sharper. Once you are past the shared surface, which one actually secures and governs agentic AI at enterprise scale? The divergence is in origin and depth…
The divergence is in origin and in depth. Agentgateway is a Rust data plane hosted by the Linux Foundation, built for performance and Kubernetes-native connectivity, with security delivered as per-request guardrails and identity delegated to an external IdP.
TrustGate is built by a security company, with runtime detection that reasons over full conversation context, a catalog of MCP tools that ships with the gateway, organization-level identity governance, and a control plane that is not bound to a single cluster orchestrator.
This compares them where those differences decide outcomes: runtime security, MCP tooling, identity, audit, and control-plane reach.
TL;DR
- Both gateways are open source and AI-native, so the decision turns on security depth, tooling, and governance rather than on whether the gateway understands agents at all.
- TrustGate's security runs natively with full conversation context, delivering multi-turn and behavioral detection; Solo.io evaluates each request in isolation through guardrails, with no memory of what the agent has done across turns.
- TrustGate ships 200+ MCP tools built in, while Solo.io federates only the MCP servers the customer brings, sources, and registers before any governance applies.
- TrustGate adds organization-level identity governance and a federated multi-gateway control plane, where Solo.io ties identity to an external IdP and binds its control plane to Kubernetes cluster topology; both keep a cryptographic audit trail, though for Solo.io it sits in the enterprise tier.
NeuralTrust vs Solo.io: Comparison at a Glance
| Capability | NeuralTrust | Solo.io |
|---|---|---|
| Open-source license | ✅ | ✅ |
| Native runtime AI security (multi-turn) | ✅ | ❌ |
| MCP catalog integrated (+200 MCP servers) | ✅ | ❌ |
| Org domain verification | ✅ | ❌ |
| Cryptographic audit trail | ✅ | ✅ Enterprise |
| Federated multi-gateway control plane | ✅ | ❌ |
| Enterprise readiness | ✅ | ❌ |
NeuralTrust vs Solo.io: 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 Solo.io Agentgateway?
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Agentgateway is an open-source, Rust-based data plane hosted by the Linux Foundation and originally built by Solo.io. It provides connectivity for LLMs, MCP tool servers, and agent-to-agent traffic, and its strengths are framed around raw data-plane performance and Kubernetes-native operation.
Security is delivered through inline guardrails on prompts and responses, identity through JWT validation and OAuth token exchange against an external identity provider, and enterprise features such as cryptographic audit trails through the commercial Solo Enterprise tier.
The gateway is deployed and operated as a Kubernetes construct: the control plane is a Kubernetes controller that translates Gateway API and agentgateway custom resources into proxy configuration, served to proxies over xDS. That makes it powerful inside a Kubernetes estate and dependent on one outside it. Its security and identity model is assembled from external components, which is where the differences below begin.
Native Runtime AI Security (Multi-turn)
This is the deepest difference between two gateways that otherwise look alike.
In TrustGate, security is built into the gateway and runs with full conversation context. A Security Engine 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.
Solo.io's security is shallow by design. Its guardrails enforce inline checks on each prompt and response, and can call out to third-party APIs to evaluate content, but every request is judged in isolation. There is no memory of the conversation and no awareness of what the agent has been doing across turns, so multi-turn manipulation and behavioral drift are invisible to the model: an attack that stays benign request by request, and only becomes malicious in aggregate, passes straight through. Each check is a point-in-time verdict on a single message, which is a fundamentally different security posture from continuous, context-aware detection built by a security company.
NeuralTrust vs Solo.io: 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.
Solo.io federates the MCP servers the customer brings. It aggregates multiple servers behind a single endpoint and can turn an OpenAPI spec into MCP tools, but it ships no catalog of its own. An enterprise deploying Solo.io must source, configure, and register every server before any governance applies, a project that can run for months before the security posture is even complete. TrustGate eliminates that work: the catalog is present on day one, and the governance and security posture is complete from the start rather than at the end of a lengthy integration effort.
NeuralTrust vs Solo.io: 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.
Solo.io has no equivalent. Identity in agentgateway is delegated entirely to an external identity provider through JWT validation and OAuth, and the gateway trusts whatever claims that IdP asserts. There is no concept of a verified organizational domain owned and governed within the gateway itself, so the notion of automatic, domain-based membership governance simply does not exist in the product. Organizational identity is something Solo.io consumes from elsewhere, not something it establishes and enforces.
NeuralTrust vs Solo.io: Federated Multi-gateway Control Plane
TrustGate provides a federated control plane that governs multiple gateways across environments without being tied to a single orchestrator. Policies, consumers, and security configuration are managed centrally and applied consistently wherever the gateways run, so a security team governs its estate as one system rather than reconciling cluster-by-cluster configuration.
Solo.io's control plane is a Kubernetes controller. It translates Gateway API and agentgateway custom resources into proxy configuration and serves it to proxies over xDS, which makes it capable inside a Kubernetes cluster and bound to that topology outside it. Multi-cluster federation is available, but through the commercial Solo Enterprise tier and still within the Kubernetes model, expressed as CRDs and cluster resources. An organization that does not run everything on Kubernetes, or that wants a control plane independent of cluster topology, hits that boundary directly. TrustGate's control plane does not impose it.
NeuralTrust vs Solo.io: Final Verdict
These two gateways start from the same premises, open source and AI-native, and then diverge on everything that determines an enterprise security outcome. Solo.io agentgateway is a fast, Kubernetes-native data plane whose limits are structural:
- Its security judges each request in isolation with no memory of the conversation, so multi-turn attacks are invisible to it.
- It ships no MCP tools and requires months of integration before governance applies.
- It has no concept of a verified organizational domain.
- Its audit trail and multi-cluster federation live in the commercial tier.
- Its control plane is bound to Kubernetes topology.
It moves agentic traffic quickly, but it borrows its security and identity from external components.
TrustGate is built by a security company, and it shows where it counts. Security runs natively with full conversation context, delivering multi-turn and behavioral detection rather than point-in-time checks.
It ships 200+ MCP tools so governance applies on day one, it establishes and enforces organizational identity through verified domains, its audit trail is anchored to that identity, and its federated control plane governs an estate without demanding a single orchestrator.
For an enterprise whose requirement is to secure and govern agentic AI, not merely to route it fast, TrustGate is the gateway with depth where Solo.io has surface.
For a broader view of how TrustGate fits into runtime AI governance, see NeuralTrust TrustLens and AI red teaming capabilities.
Frequently Asked Questions about NeuralTrust vs Solo.io:
1. What is the difference between NeuralTrust TrustGate and Solo.io agentgateway?
Both are open-source, AI-native gateways for LLM, MCP, and agent traffic, so the difference is depth. TrustGate, built by a security company, runs native runtime security with full conversation context, ships 200+ MCP tools, governs organizational identity through verified domains, and federates a control plane across environments. Solo.io is a Rust data plane focused on Kubernetes-native performance, with per-request guardrails, customer-supplied MCP servers, IdP-delegated identity, and a Kubernetes-bound control plane.
2. Are both gateways open source?
Yes. Both TrustGate's core and Solo.io agentgateway are open source under Apache 2.0. The differences lie in what each does above that shared foundation, particularly in security depth, MCP tooling, identity governance, and which capabilities require a commercial tier.
3. How does each gateway handle AI security?
TrustGate runs security natively inside the gateway with session memory, so it performs multi-turn and behavioral detection and catches attacks that build up across a conversation. Solo.io enforces inline guardrails that evaluate each prompt and response in isolation, often by calling third-party APIs, with no conversation memory, so multi-turn manipulation and behavioral drift are not detected.
4. Does Solo.io include a catalog of MCP tools?
No. Solo.io federates MCP servers that the customer sources, configures, and registers, and can convert OpenAPI specs into MCP tools, but it ships no built-in catalog. TrustGate ships 200+ MCP tools, so governance and security apply from the day the gateway is deployed rather than after months of integration.
5. Do both gateways provide a cryptographic audit trail?
Both do. In TrustGate the audit trail is part of the governed platform and anchored to the same verified Consumer identity that controls model and tool access. In Solo.io the cryptographic audit trail is delivered through the commercial Solo Enterprise tier, and because identity is asserted by an external IdP, entries are only as attributable as the upstream claims.
6. Does NeuralTrust detect MCP tool poisoning, and does Solo.io?
Yes. TrustGate inspects MCP tool definitions at the gateway (the tool's name, description, and parameter schema) and can detect and patch a poisoned definition before it reaches the model, without touching the third-party server or waiting on its release cycle. This is tracked as its own attack category in the OWASP MCP Top 10. Solo.io can control which tools a model may call, but it does not inspect a tool's definition for planted content; detecting a poisoned description requires an external scanner outside agentgateway.
7. 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 work. Solo.io delivers observability through OpenTelemetry and its commercial tier, but named SIEM destinations require custom integration on top of a generic export format.
8. Does NeuralTrust support Kubernetes deployments like Solo.io?
Yes. TrustGate deploys on Kubernetes and integrates with standard Kubernetes tooling, but its control plane is not bound to Kubernetes topology. It governs a fleet of gateways across environments (cloud, on-premises, edge) without requiring every gateway to be expressed as a cluster resource. Solo.io's control plane is a Kubernetes controller by design, which is a strength inside a Kubernetes estate and a constraint outside it.
9. 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 means compliance evidence flows into existing GRC tooling automatically. Solo.io's cryptographic audit trail and advanced compliance features require the commercial Enterprise tier.
10. Can teams migrate from Solo.io agentgateway to NeuralTrust TrustGate?
Yes. Both gateways expose OpenAI-compatible LLM endpoints and standard MCP interfaces, so migrating the routing layer requires redirecting traffic rather than rewriting application code. The migration work sits in mapping Solo.io's Kubernetes Gateway API resources and CRDs into TrustGate's Consumers, Routes, and Policies model, and in replacing Solo.io's IdP-delegated identity with TrustGate's native Consumer identity and org domain verification. Teams on Kubernetes with heavily customized xDS configuration will have the most to translate.
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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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