Cloudflare AI Gateway alternatives: the 2026 comparison

Honest answer: if your need is operational, keep it — or adopt it. Usage analytics across providers, caching that actually cuts your bill, rate limiting that stops a retry storm, fallback when a provider degrades: AI Gateway does all of this well, at the edge, for free at its core. None of the security-focused options on this page replicates that ops feature set. The mistake is not using AI Gateway; the mistake is believing it is a security layer. Its own docs are clear on the split: Guardrails handles harmful-content moderation via Llama Guard, and injection detection is sold separately, in the Enterprise WAF add-on. If you are on an Enterprise plan already and your residency requirements allow it, that combination may be all you need.

Disclosure: Senthex is us — judge this section accordingly, and check the claims against the linked pages.

Senthex is the mirror image of AI Gateway: security-first where AI Gateway is ops-first. It is also a one-line integration — a proxy in front of OpenAI, Anthropic, Mistral or Gemini via a base-URL swap — but what sits behind that line is a firewall (prompt-injection detection, PII redaction, leak detection) plus the part AI Gateway does not attempt: a verifiable, tamper-evident audit trail. In the v1.1.7 pilot, every record is chained with SHA-256 and anchored to an RFC 3161 timestamp, so it can be verified offline — try it on a real bundle — which is what EU AI Act record-keeping (Articles 12 & 19) asks you to be able to show. On precisely the three walls above: Senthex is EU-hosted (Hetzner Falkenstein, Germany), self-hostable including on Azure, and raw request/response bodies are excluded from storage by default (data minimisation). And the two are composable: teams keep AI Gateway for caching and spend analytics and route through Senthex for the security and audit layer. Our detection research is published — ATLAS and RELAY — so you can inspect behaviour before buying. Pricing is public, with a free tier.

When Senthex is not the right choice: if your need is purely operational (stay on AI Gateway); if you want gateway load-balancing features as open source (NeuralTrust's TrustGate); if you need enterprise-scale adversarial red-teaming (Lakera/Check Point); or if your risk is model files, not traffic (HiddenLayer). See also what we do and do not claim on EU AI Act compliance.

If what pushed you off AI Gateway is detection depth — you want the vendor with the largest published adversarial dataset in the category — Lakera is the reference: Check Point's acquisition announcement cites over 80 million adversarial patterns from the Gandalf game, there is a published benchmark (PINT), and self-hosting is documented down to air-gapped deployments. It has been part of Check Point since late 2025, with the usual consequences: quote-based pricing and a roadmap oriented to the acquirer's platform. We wrote a full page on that decision: Lakera alternatives, compared honestly.

If you like the gateway model — one entry point, routing, policies — but need what AI Gateway will not give you (self-hosting, open source, an EU vendor), NeuralTrust is the most direct substitute on this page. TrustGate is an open-source AI gateway (Apache-2.0, written in Go) deployable as Docker, Kubernetes or a single binary, and the commercial platform adds runtime protection and red teaming (TrustTest). The company (Barcelona and London) raised a $20M seed in June 2026 and is independent as of this writing. Counterpoints: platform pricing is on request, and the open-source community is still young. Full comparison: NeuralTrust alternatives.

LLM Guard takes the opposite architectural stance to a gateway: an MIT-licensed Python library you embed in your own code, with 15 input and 20 output scanners. It used to be the default answer to "AI Gateway doesn't do security scanning — what do I bolt on?". It no longer is: the repository was archived on July 9, 2026, following Palo Alto Networks' acquisition of Protect AI, and its README says the project and models are no longer maintained. Use it today only if you are prepared to fork and maintain it. If you were considering LLM Guard, we compared the live options: LLM Guard alternatives.

If the reason AI Gateway feels insufficient is not the traffic layer at all — it is that you are shipping third-party model files, fine-tunes and registries you cannot vouch for — then no gateway fixes that, and HiddenLayer's MLSecOps platform (model scanning, AI asset discovery, attack simulation, plus AIDR runtime detection) is aimed at exactly that problem. Pricing is sales-led with no public numbers and the deployment model is not publicly documented, so budget a procurement cycle.