KnoxCall vs Cloudflare AI Gateway
Cloudflare AI Gateway is a genuinely excellent free edge proxy for 20+ LLM providers — caching, rate limiting, fallbacks, observability and a BYOK key store, all at sub-request latency. But two things happen at the data plane that KnoxCall handles differently: its guardrails scan-and-block, while KnoxCall redacts PII inline at the SSE chunk boundary; and its BYOK store still presents the provider key to the request, while KnoxCall injects it at the egress wire so the plaintext key never enters your workload — and rotates it custodially.
KnoxCall Advantages
- Provider key injected at the egress wire — never rendered into your workload’s env, memory or CI, and no value-GET path in the proxy
- Streaming PII redaction transforms the SSE stream inline at the chunk boundary (hold-back FSM, FF3-1) instead of only flagging or blocking the response
- Custodial rotation — KnoxCall mints and revokes provider child keys itself, rotating the underlying vendor key, not just a TTL
- DPoP-bound short-lived capability keys + OIDC/RFC 8693 workload federation replace static bearer tokens
- Tokenization vaults + one-shot Ephemeral Proxy, plus Transit-style encrypt / decrypt / rewrap and JWT signing
- Prompt firewall + canary leak detection; per-agent budgets recorded per call
- One managed platform: AI gateway + secrets + tokenization + crypto + analytics + alerts, one bill
Cloudflare AI Gateway Advantages
- Core gateway is genuinely free — caching, rate limiting and analytics at no per-call fee
- Runs on Cloudflare’s global edge with sub-request latency close to your users
- One unified endpoint for 20+ providers (OpenAI, Anthropic, Google, Workers AI and more)
- Deep response caching that can meaningfully cut token spend
- Unified Billing — pay provider usage on your Cloudflare invoice (5% fee on credits)
- Reuses Cloudflare Zero Trust DLP profiles if you already run that suite
Feature Comparison
Credential Exposure & the Data Plane
This is the sharp edge of the comparison. Cloudflare’s BYOK store encrypts provider keys at rest and hands them to each request; its guardrails detect and then flag-or-block. KnoxCall works one layer deeper: the key is injected at the last hop and the stream is transformed as it flows.
| Feature | KnoxCall | Cloudflare AI Gateway |
|---|---|---|
Provider key never enters your workload Is the real OpenAI / Anthropic key kept out of your env, memory and CI? | ✓
Injected at the egress wire; no value-GET path in the proxy | ~
BYOK store is encrypted, but the key is still your own bearer token attached to the request |
Inline streaming PII redaction Transform the SSE stream at the chunk boundary vs flag / block it | ✓
Hold-back FSM + FF3-1, redacts inline as tokens stream (Pro+) | ~
Guardrails / DLP detect and flag-or-block; not an inline stream transform |
Reversible tokenization of detected data Replace PII with a format-preserving token you can later reverse | ✓
Format-preserving tokens, one canonical ciphertext | ✗
Detection filter, not tokenization |
Custodial rotation of the provider key Does the gateway rotate the underlying vendor key itself? | ✓
Mints / verifies / deletes provider child keys across adapters | ~
Rotate the stored key “without code changes,” but you supply and rotate it |
Workload holds only a short-lived, scoped token DPoP-bound capability key + OIDC / RFC 8693 federation | ✓
DPoP-bound, scoped, revocable | ~
Token-based gateway auth; not DPoP / workload federation |
LLM Gateway Core
| Feature | KnoxCall | Cloudflare AI Gateway |
|---|---|---|
Unified multi-provider endpoint One API in front of many LLM providers | ✓ | ✓
20+ providers, one endpoint |
Response caching Serve identical requests from cache to cut token spend | ✗
Not a semantic LLM cache today | ✓
Global edge cache — a real strength |
Rate limiting & spend limits Throttle abuse and cap cost | ✓
Rate limits + per-agent budgets (recorded) | ✓ |
Retries & provider fallbacks Fail over to another model / provider | ~
Route-level failover, not model A/B fallback chains | ✓
Dynamic routing + fallbacks |
Edge latency How close the proxy runs to the caller | Regional | Global edge |
Guardrails & Compliance
| Feature | KnoxCall | Cloudflare AI Gateway |
|---|---|---|
Prompt firewall + canary leak detection Catch injection and seeded-secret exfiltration | ✓
Prompt firewall + canary (Pro+) | ~
Guardrails moderate harmful content; no canary-leak primitive |
Content moderation guardrails Flag or block harmful prompts / responses | ~
Focus is redaction & leak defence, not category moderation | ✓
Llama Guard categories, flag or block |
HIPAA / PCI / GDPR compliance packs Pre-tuned redaction / policy bundles | ✓
HIPAA / PCI / GDPR packs (Pro+); SOC 2 Type II in progress | ~
Reuses Zero Trust DLP profiles if you own that suite |
Per-employee attribution Attribute AI usage to a named user | ✓
X-KC-User attribution (Pro+) | ~
Custom metadata tags, self-managed |
Beyond the AI Gateway
| Feature | KnoxCall | Cloudflare AI Gateway |
|---|---|---|
API proxy for non-AI vendor keys Wire-inject Stripe, Twilio, SendGrid keys too | ✓
Same egress-injection model for any bearer key | ✗
Scoped to AI provider traffic |
Tokenization vaults + Ephemeral Proxy Format-preserving tokens for PAN / SSN / email; one-shot proxy | ✓ | ✗ |
Encryption-as-a-Service Transit-style encrypt / decrypt / rewrap + JWT / RSA / ECDSA / Ed25519 signing | ✓
Alg-confusion defence; BYOK via customer KMS (Enterprise) | ✗ |
Request analytics + geo tracking + alerts Usage metrics, world-map geo, email / SMS / Slack alerts | ✓
Alerts on Pro+ | ~
Strong analytics & logs; no built-in geo map / multi-channel alerts |
In Depth
Cloudflare AI Gateway and KnoxCall look adjacent on a feature grid — both sit in front of your LLM traffic — but they are optimised for different problems. Cloudflare’s AI Gateway is an outstanding edge control plane: caching, rate limiting, dynamic routing, fallbacks and observability, delivered free on a global network with a unified endpoint for 20+ providers. If your priorities are latency, cost control and one place to watch every model call, it is hard to beat and cheap to adopt. KnoxCall is optimised for the data plane and the credential: keeping the provider key out of your workload, transforming sensitive tokens inline as they stream, and rotating the underlying vendor key itself.
Scan-and-block vs transform-inline
Cloudflare’s Guardrails evaluate prompts and responses (using Llama Guard on Workers AI) and let you choose to flag or block by category. That is a good moderation control. But it is a detection filter: it decides whether content is allowed, not what the safe version of the content should be. KnoxCall’s streaming PII redaction is a transform. It runs a hold-back finite-state machine at the SSE chunk boundary — buffering just enough of the token stream to recognise a PII span across chunk splits — and rewrites the sensitive value with a format-preserving replacement (FF3-1 on the AI PII path) before the bytes reach the caller. The response keeps flowing; only the sensitive spans change. That means a support agent can keep streaming a helpful answer while a leaked SSN is redacted in place, rather than the whole response being blocked after the fact.
BYOK storage vs egress wire-injection
Cloudflare’s BYOK store is a real security improvement over pasting keys into app config: it encrypts each provider key at rest and lets you rotate it without redeploying. But architecturally the key is still your bearer token, presented on the request path. KnoxCall’s model is different in kind: there is no value-GET path in the proxy, so the plaintext provider key is injected only at the last hop to the vendor and never enters your workload’s environment, memory or CI at all. On top of that, KnoxCall can act as custodian — minting, verifying and deleting provider child keys through provider admin adapters — so it rotates the underlying vendor key, not merely a stored copy or a lease TTL.
When to Choose Cloudflare AI Gateway
Be direct about where Cloudflare AI Gateway is the better call, because for a lot of teams it is:
- You want it free and global. The core gateway — caching, rate limiting, analytics — costs nothing beyond your Cloudflare plan, and it runs at the edge close to your users with sub-request latency. That is a genuinely excellent baseline.
- Latency and caching matter most. Cloudflare’s global response cache can cut real token spend on repeated prompts, and its edge footprint is hard to match regionally.
- You want one endpoint for 20+ providers with dynamic routing, retries and provider fallbacks, plus unified billing so third-party model usage lands on your Cloudflare invoice (a small 5% fee on purchased credits).
- You already run Cloudflare Zero Trust. If you own that suite, AI Gateway can reuse your existing DLP profiles — a strong reason to keep everything in one console.
If those are your priorities, Cloudflare AI Gateway is a great choice, and KnoxCall is happy to sit behind it: point your gateway’s BYOK egress at a KnoxCall route so the provider key is wire-injected and the stream is redacted, while Cloudflare keeps doing the caching and edge routing it is best at.
The honest residual
KnoxCall is not a Cloudflare replacement, and its wins are scoped. It does not run a global edge, does not (today) offer a semantic LLM response cache, and its provider-fallback story is narrower than Cloudflare’s dynamic routing. Its cost-savings pitch is different in kind — data-plane guarantees, not token caching.
And the wire-injection guarantee is scoped to the proxy / egress hot path, not the whole universe. Even in the best case, your workload still holds a short-lived, scoped, revocable KnoxCall capability token — DPoP-bindable and audited on every call, but present. The difference from a static provider key is what that token is and how long it lives, not that nothing exists to steal. Streaming PII redaction is a strong control, but no detector is perfect; treat it as defence in depth alongside, not instead of, provider-side and application-side safeguards. And a few things are explicitly roadmap, not shipped: the wire-protocol database proxy and a turnkey token-mint endpoint are not here yet, and KnoxCall’s SDKs live in the monorepo (six of them) rather than on pip or npm today.
Pricing Comparison
KnoxCall
- 1 Route · 100 calls/mo
- 1 Client · 1 Secret
- 1 Vault (1k tokens)
- 2 Crypto Keys (AES)
- 1 Inbound Webhook
- Basic Analytics · 7-day logs
- 2 Routes · 10K calls/mo
- 5 Vaults (50K tokens)
- Ephemeral Proxy 100K ops/mo
- AI streaming pass-through 10K calls/mo
- Capability keys (DPoP-bound)
- Basic Analytics
- 25 Routes · 1M calls/mo
- Streaming PII Redaction (FF3-1 + hold-back FSM)
- Prompt Firewall + Canary Leak
- 100K AI calls/mo · OIDC workload federation
- 25 Vaults (1M tokens) · Format-Preserving Tokens
- Email Alerts
- Unlimited Routes · Unlimited calls
- All Pro Features · Unlimited Team
- Unlimited Vaults, tokens & Crypto Keys
- BYOK via tenant master key
- Dedicated Fixed Outbound IP
- Priority Support
Cloudflare AI Gateway
- Caching, rate limiting, analytics
- No per-call gateway fee
- 20+ providers, one endpoint
- 100K stored logs (all gateways)
- 10M stored logs per gateway
- Logpush available
- Guardrails billed as Workers AI inference
- Pay provider usage on Cloudflare invoice
- Provider inference passed through
- 5% fee on purchased credits
Cloudflare AI Gateway’s core is free; you pay for provider tokens, for Workers AI when guardrails evaluate content, and for logs / Logpush above the free allowance. Prices per Cloudflare’s published docs and subject to change.
Frequently asked questions
Is KnoxCall a replacement for Cloudflare AI Gateway?
No. KnoxCall does not run a global edge, does not currently offer a semantic LLM response cache, and its provider-fallback story is narrower than Cloudflare's dynamic routing. The two are optimised for different problems: Cloudflare AI Gateway is an edge control plane for caching, routing and observability, while KnoxCall works on the data plane, keeping the provider key out of your workload and redacting PII inline as responses stream.
Can I run KnoxCall alongside Cloudflare AI Gateway?
Yes. Point your gateway's BYOK egress at a KnoxCall route: Cloudflare keeps doing the caching and edge routing it is best at, while KnoxCall wire-injects the provider key at the last hop and redacts PII inline at the SSE chunk boundary. In that layered setup the plaintext provider key never enters your workload's environment, memory or CI.
When is Cloudflare AI Gateway the better choice?
When you want a free, global gateway: the core service adds caching, rate limiting and analytics at no per-call fee and runs at the edge with sub-request latency. It is also the better fit if you rely on its response caching to cut token spend, want one endpoint for 20+ providers with dynamic routing and fallbacks, or already run Cloudflare Zero Trust and can reuse your existing DLP profiles.
How does pricing differ between KnoxCall and Cloudflare AI Gateway?
Cloudflare AI Gateway's core is free; you pay for provider tokens, for Workers AI when guardrails evaluate content, for log storage above the free allowance (Workers Paid starts at $5/mo), and a 5% fee on purchased credits if you use Unified Billing. KnoxCall has a Free Forever tier, a $19/mo Starter plan, a $99/mo Pro plan that adds streaming PII redaction and the prompt firewall, and a custom-priced Enterprise tier.
Keep Cloudflare at the edge. Take the key off the wire.
Run KnoxCall behind (or instead of) Cloudflare AI Gateway: wire-inject the provider key so it never enters your workload, redact PII inline as the stream flows, and rotate the vendor key custodially — while the edge keeps caching and routing.