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ONE GOVERNED ENDPOINT · YOUR PERIMETER, NOT AN EDGE NETWORK

A Sovereign Cloudflare AI Gateway Alternative

Cloudflare AI Gateway puts caching, limits and logs in front of your model calls, at its edge. The Scrydon AI Gateway puts identity, policy and audit in front of them, in your perimeter — and follows the call into the tools your agents use next.

In plain terms

Cloudflare AI Gateway is a hosted proxy you point your model calls through: one endpoint per gateway, caching, rate limits, retries, logs and analytics, and optional key storage, all running on Cloudflare's network. It is convenient and cheap. It is also, by design, a third party between your prompts and your models, and it knows nothing about who the person behind a call is. The Scrydon AI Gateway is the control point an organisation owns. It stands alone and can be deployed on its own.

Read this if you're a team already on Cloudflare weighing the convenience of an edge gateway against the sovereignty and attribution its security review will ask about.

Deploy the AI Gateway Starts at €500 / month on a yearly commitment, deployed on its own in a day.


Definition

The Scrydon AI Gateway is a sovereign alternative to Cloudflare AI Gateway: a single governed endpoint that speaks the standard model APIs so existing tools reach any model unchanged, deployed inside the organisation's own perimeter rather than at a provider's edge, where every call runs under the caller's own federated identity, against a clearance-gated model allowlist, with data loss prevention, a spend cap and an immutable audit trail, sharing one policy and one audit chain with governed tool calls and sandbox egress.

Cloudflare AI Gateway is a pragmatic product: change a base URL and your model calls gain caching, rate limiting, retries and fallbacks, request logs and analytics, and optionally the storage of provider keys so applications hold none — with Cloudflare's usual reach and price. For a consumer-facing application on Cloudflare it is a sensible layer. Its limits are the limits of an edge gateway. It is a hosted intermediary, so every prompt and response pass through a third party's network under its terms and jurisdiction; a gateway is an application-level object, so attribution stops at the application; there is no model policy tied to a person's clearance and no data loss prevention in the regulated sense; and it sees the model call only, while an agent's day is mostly tool calls. The Scrydon AI Gateway keeps the base-URL simplicity — the standard APIs, any model, unchanged tools — and moves the control point into your perimeter: a gateway key minted against a named person in your identity provider, the allowlist following that person's clearance, every call screened, metered against a cap and audited, and the same identity governing the tools the agent calls over MCP and the network its sandbox may reach.

  • In Your Perimeter

    Air-gapped, on-premises or a European sovereign cloud. Prompts reach the vendors you chose, on your contracts, or open-weight models on your own hardware — no edge network in between.

  • Runs as a Person, Not an Application

    Every call resolves through your identity provider to the human who made it, so spend is per developer, model access follows clearance, and revocation is removing the person.

  • Governance Past the Model Call

    One policy and one audit chain across the model call, the tools the agent calls over MCP, and the egress of the sandbox those tools run in.

Where it fits

Cloudflare AI Gateway Alternative in the Scrydon platform

One integrated, sovereign architecture. Here is where Cloudflare AI Gateway Alternative sits — highlighted against the full stack it works with.

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AN EDGE PROXY, OR A CONTROL POINT YOU OWN

What Cloudflare AI Gateway adds at the edge, and what the AI Gateway adds in your perimeter

Cloudflare AI Gateway's strength is how little it asks: change a base URL and your model calls gain caching, rate limits, retries and fallbacks, logs and analytics, and optionally a place to keep provider keys so applications hold none — on a network most teams already use. The Scrydon AI Gateway asks the same of the developer and moves the control point into your perimeter: the call runs as a named person from your identity provider, the model allowlist follows that person's clearance, data loss prevention screens what leaves, the turn is metered against a cap you set, and the audit record settles before the stream finishes. Nothing passes through a third party's network on the way.

  • A base URL, unchanged toolsBoth are adopted by changing an address. The AI Gateway speaks the Anthropic, OpenAI and Gemini dialects natively, so coding agents and applications run through it without modification.

  • Your perimeter, your contractsCloudflare AI Gateway is a hosted proxy at the edge. The AI Gateway is deployed where your production runs and reaches models on your own vendor contracts or on your own hardware.

  • A person, not an applicationThe AI Gateway mints keys against a named person in your identity provider; the allowlist follows that person's clearance; removing the person stops the next turn.

  • Screened, capped, audited — and followedData loss prevention and moderation run inline, the turn is metered against the organisation's cap, the audit record settles before the stream finishes, and the same chain covers the agent's tool calls and sandbox egress.

WHY SWITCH

When the gateway has to pass the same tests as the workload

Cloudflare AI Gateway is a fair choice for a consumer-facing application that wants caching and logs in front of its model calls and already lives on Cloudflare. The gap opens when the gateway is asked to pass the same tests as the workload. A public body or regulated enterprise that has answered the sovereignty questions — whose jurisdiction, whose keys, what happens disconnected — cannot answer them differently for the proxy that sees every prompt. Nor can a gateway token tell an auditor which person made a call, or what their agent did next against systems the gateway never sees. The Scrydon AI Gateway is built for that organisation: every call attributable to a person, one policy and one audit chain across the model call, the tools the agent calls and the sandbox it runs in, deployed where your production runs — and deployable on its own before anything else is.

HOW IT COMPARES

Scrydon AI Gateway vs Cloudflare AI Gateway

Both are adopted by changing a base URL and both log and meter model calls. One is a hosted proxy at a provider's edge; the other is a control point in your own perimeter that knows who the person is.

CapabilityScrydonCloudflare AI Gateway
Where it runsIn your perimeter — air-gapped, on-premises or European cloudCloudflare's network; every prompt and response pass through it
Who the call runs asThe person, resolved through your identity provider, with their own delegated grantsAn application's gateway and token; attribution per gateway or per metadata sent
Model calls governedClearance-gated allowlist, DLP, moderation, cap and immutable audit on every callRate limits, caching, retries and fallbacks, logs and analytics, optional guardrails
Tool calls governedSame identity, policy and audit chain as the model callNot in that path
Where the vendor key livesOn the platform; never issued to a developerOptionally stored with the gateway, or sent by the application
Cost attributionPer person, per team or unit, and per turn, by model, capability and workflow, with an on-pace projection and a capPer gateway and model, with cost estimates in analytics
SovereigntyPasses the jurisdiction, keys and disconnected-operation testsA third-party processor by design; no disconnected mode
Pricing modelFixed monthly fee for the cluster that carries your people, excluding hostingFree tier, with paid features on Cloudflare plans

A category comparison, written to orient: Cloudflare AI Gateway is a good edge proxy and we would not pretend otherwise — this website itself runs on Cloudflare. Cloudflare is a trademark of Cloudflare, Inc.; capabilities evolve — verify current details with the vendor.

FAQ

Frequently asked questions

What is the best alternative to Cloudflare AI Gateway for a regulated organisation?+
The Scrydon AI Gateway, where the requirement is a control point inside your own perimeter that attributes every call to a person, applies model policy by clearance, screens and caps, and follows the call into the tools the agent uses next. It is adopted the same way, by changing a base URL, and runs air-gapped, on-premises or on a European sovereign cloud. For a consumer-facing application on Cloudflare that wants caching and logs, Cloudflare AI Gateway is a fair choice.
How is the Scrydon AI Gateway different from Cloudflare AI Gateway?+
Where it runs, who a call runs as, and how far the governance reaches. The Scrydon AI Gateway is deployed in your perimeter rather than at a provider's edge; a call runs as the person who made it, resolved through your own identity provider, rather than as an application's gateway token; and one policy and one audit chain cover the model call, the tools the agent calls and the network its sandbox may reach. What is the same: a base URL, any model, developers who change nothing.
Is an edge gateway a sovereignty problem?+
For a public body or regulated enterprise, usually yes: every prompt and response pass through a third party's network under its terms and jurisdiction, and there is no disconnected mode. The AI Gateway runs where your production runs, including air-gapped, so the sovereignty tests that apply to the workload also pass for the control point that sees every prompt.
Does the Scrydon AI Gateway cache like Cloudflare AI Gateway?+
It preserves the vendors' prompt caching end to end, forwarding cache breakpoints and reporting cache-split tokens back, which is what matters for a coding agent that re-sends its whole context every turn. Response caching at the edge is Cloudflare's feature, aimed at repeated identical requests from applications; the AI Gateway's job is the governed route, not a cache.
Can we start with just the AI Gateway?+
Yes. It stands alone, with no ontology or programme behind it, and can be deployed on its own in a day; the first spend report per developer follows a week after go-live.

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