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Endpoint AI Finder

HEAD-TO-HEAD · FACTS ONLY

Bay vs Cloudflare AI Gateway: AI endpoint control facts side by side

Short answer

Bay describes 1 of the four product control types on the pages we read and Cloudflare AI Gateway describes 1; they differ on on-device control and AI or MCP gateway. On decisions, Bay decides on a tool call before it runs and Cloudflare AI Gateway does not describe tool-call decisions on the pages we read. We do not score either; the right choice depends on the AI tools people use, your devices, your current stack and whether you block or guide.

By The Device Desk · Endpoint AI Finder · Published 2026-10-11

Desk research from public vendor pages read on 27 September and 11 October 2026. Profiles follow our published method; we did not run the products.

Vendor pages read September and October 2026 · updated 2026-10-13

Where do their controls sit?

Bay: described at 1 of 4 product control positions (on-device control).AI servicesMCP serversDEVOn-device controlBRWBrowser extensionNETNetwork or SSE proxyGWYAI or MCP gatewayPOLPolicy: no product
  • Filled or hatched marker: Bay
  • Dashed teal ring: Cloudflare AI Gateway, described
  • DEV Filled marker: described on the product pages we read
  • DEV Hatched marker: partly described (another component, a narrower scope, or method not detailed)
  • DEV Dashed marker: not in our sources (it may exist; we did not find it)
The map shows where each product's own pages describe a control, or where your answers point. It is not a measure of how well a product works.

What are the facts, side by side?

Bay and Cloudflare AI Gateway, from each product's own pages. Differs is computed from recorded statuses, not wording.
FactBayCloudflare AI Gateway
OwnerNoneNone
PositioningAn endpoint-first control layer for AI agents, coding assistants and MCP servers on employee devices. Bay describes itself as a fully preventive, agentless platform that classifies, governs and prevents risks across every AI agent and tool on enterprise endpoints.A gateway for AI applications: Cloudflare's documentation describes it as a way to observe and control AI apps, with analytics on requests, tokens and cost, logging, caching, rate limiting, request retry and model fallback across providers including Workers AI, Anthropic, Google Gemini, OpenAI and Replicate. It governs apps you build, not employees' devices.
How it reaches devicesDeploys through your existing EDR or MDM, with no new agents and no new tools; Bay says it scans in minutes and exits cleanly.

Source: Bay homepage · Read 27 Sep 2026

Routed in front of model providers from your own applications; Cloudflare says it takes one line of code to start.

Source: Cloudflare AI Gateway documentation · Read 11 Oct 2026

On-device controlDiffersDescribedInventories AI agents, MCP servers, tools, credentials and extensions on the device, and its Enforcer returns Allow, Ask or Deny locally on prompts, pre-tool calls and post-tool responses on supported agent surfaces. Delivered as Wave, an ephemeral binary that runs through your existing MDM or EDR. Policies can be scoped by agent, group, endpoint or device.

Source: Bay blog: Ghostjacking (re-read) · Read 11 Oct 2026

Not in our sourcesNot described on the pages we read.
Browser extensionNot in our sourcesNo browser extension is described. Bay's Application Control can allow or block browsers and extensions as applications, which is a device rule, not a control on what goes into browser AI.

Source: Bay blog: Ghostjacking (re-read) · Read 11 Oct 2026

Not in our sourcesNot described on the pages we read.
Network or SSE proxyNot in our sourcesNot described on the pages we read.Not in our sourcesNot described on the pages we read.
AI or MCP gatewayDiffersNot in our sourcesNot described on the pages we read.DescribedAn AI gateway with analytics, logging, caching, rate limiting, retry and model fallback for AI applications.

Source: Cloudflare AI Gateway documentation · Read 11 Oct 2026

Names the coding agents it coversDiffersMatchesManaged settings for Claude Code, Codex and Claude Desktop lock permission rules, preserve managed hooks, restrict MCP servers and constrain plugin sources.

Source: Bay blog: Ghostjacking, an AI agent attack (August 2026) · Read 27 Sep 2026

Not in our sources
Decides on a tool call before it runsDiffersMatchesEvaluates prompts, pre-tool calls and post-tool responses and returns Allow, Ask or Deny locally, which Bay states takes under 4ms with no cloud round-trip, on supported agent surfaces.

Source: Bay blog: Ghostjacking (re-read) · Read 11 Oct 2026

Not in our sources
Controls what goes into browser AINot in our sourcesNot in our sources
Rolls out through EDR or device management you runDiffersMatchesDeploys through your existing EDR or MDM; no new agents.

Source: Bay homepage · Read 27 Sep 2026

Not in our sources
Can warn or ask instead of only blockingDiffersMatchesAsk is one of three answers, with Allow and Deny.

Source: Bay homepage · Read 27 Sep 2026

Not in our sources
Can block an agent, tool or actionDiffersMatchesDeny stops an action. Rules cover MCP servers (an allow or block list, and per-tool rules for read, create, update, delete and execute), applications, CLIs, browsers, IDEs and extensions, credentials and files, network egress allow lists, and capability rules such as shell execution, package installation and cloud CLIs.

Source: Bay blog: Ghostjacking (re-read) · Read 11 Oct 2026

Not in our sources
Has a watch-only or simulation modeDiffersMatchesSimulation Mode runs a rule without enforcing it.

Source: Bay blog: Ghostjacking, an AI agent attack (August 2026) · Read 27 Sep 2026

PartlyAnalytics and logs on requests, tokens and cost without changing the traffic.

Source: Cloudflare AI Gateway documentation · Read 11 Oct 2026

Records who or what took each actionDiffersMatchesRecords who triggered an action, whether a human was involved, and the chain from prompt to system action.

Source: Bay homepage · Read 27 Sep 2026

PartlyLogs requests; tying a call to a person or an agent is not described.

Source: Cloudflare AI Gateway documentation · Read 11 Oct 2026

Also covers SaaS, cloud or homegrown AIDiffersNot in our sourcesMatchesBuilt for AI applications you build and run.

Source: Cloudflare AI Gateway documentation · Read 11 Oct 2026

Has a public price or tiers (vendor site or marketplace)Not in our sourcesNot in our sources
Built intoNoneNone
Works withNone in our sourcesNone in our sources
PriceNot published. Bay's site has a demo request and no pricing page (re-checked 11 October 2026).

Source: Bay homepage (re-read) · Read 11 Oct 2026

Available on all Cloudflare plans, per the documentation; plan prices are not on the page we read.

Source: Cloudflare AI Gateway documentation · Read 11 Oct 2026

Where do they differ?

  • On-device control: Bay describes it; Cloudflare AI Gateway is not in our sources.
  • AI or MCP gateway: Bay is not in our sources; Cloudflare AI Gateway describes it.
  • Names the coding agents it covers: Bay matches; Cloudflare AI Gateway is not in our sources.
  • Decides on a tool call before it runs: Bay matches; Cloudflare AI Gateway is not in our sources.
  • Rolls out through EDR or device management you run: Bay matches; Cloudflare AI Gateway is not in our sources.
  • Can warn or ask instead of only blocking: Bay matches; Cloudflare AI Gateway is not in our sources.
  • Can block an agent, tool or action: Bay matches; Cloudflare AI Gateway is not in our sources.
  • Has a watch-only or simulation mode: Bay matches; Cloudflare AI Gateway partly matches.
  • Records who or what took each action: Bay matches; Cloudflare AI Gateway partly matches.
  • Also covers SaaS, cloud or homegrown AI: Bay is not in our sources; Cloudflare AI Gateway matches.

Choose Bay if

  • Your developers run coding agents with many MCP servers and you want a decision on each action before it runs
  • You want to add AI agent control through the EDR or MDM you already run instead of rolling out another agent

Choose Cloudflare AI Gateway if

  • You build your own AI apps and want one place to log and control their model calls
  • You already use Cloudflare and want AI traffic to pass through it

Which limits should you check?

Bay

  • Endpoint only: no browser extension, network proxy or AI gateway is described, and nothing on SaaS or cloud-hosted AI apps.
  • One of the smallest public footprints here: a single homepage, two blog posts, no documentation portal and no published pricing (re-checked 11 October 2026).
  • Headline figures such as under 5 minutes to deploy, under 1% false positives and 100% of shadow AI discovered are Bay's own statements and have not been verified.

Cloudflare AI Gateway

  • It is an application gateway: it does not see employees' AI tools, coding agents or devices.
  • Content controls such as blocking prompts are not described on the page we read, and plan prices are not on it.

Questions people ask

Is Bay or Cloudflare AI Gateway better for AI endpoint control?

Neither is scored on this site. Bay describes 1 of four product control types and Cloudflare AI Gateway 1 on the pages we read, and they differ on 10 recorded facts. Which fits depends on the AI tools people use, your devices, where the work happens and whether you block or guide; the finder checks those.

Which of the two decides on a tool call before it runs?

Bay: Matches. Cloudflare AI Gateway: Not in our sources. Warn or ask: Bay Matches, Cloudflare AI Gateway Not in our sources.

Do Bay or Cloudflare AI Gateway publish prices?

Bay: Not published. Bay's site has a demo request and no pricing page (re-checked 11 October 2026). Cloudflare AI Gateway: Available on all Cloudflare plans, per the documentation; plan prices are not on the page we read.