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Endpoint AI Finder

HEAD-TO-HEAD · FACTS ONLY

Workforce Protector vs Bay: AI endpoint control facts side by side

Short answer

Workforce Protector describes 1 of the four product control types on the pages we read and Bay describes 1; they differ on on-device control and browser extension. On decisions, Workforce Protector describes some control over tool calls and Bay decides on a tool call before it runs. 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?

Workforce Protector: described at 1 of 4 product control positions (browser extension), partly at 1 (on-device control).AI servicesMCP serversDEVOn-device controlBRWBrowser extensionNETNetwork or SSE proxyGWYAI or MCP gatewayPOLPolicy: no product
  • Filled or hatched marker: Workforce Protector
  • Dashed teal ring: Bay, 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?

Akamai Workforce Protector and Bay, from each product's own pages. Differs is computed from recorded statuses, not wording.
FactWorkforce ProtectorBay
OwnerAkamai (formerly LayerX; acquisition date not stated on the page)None
PositioningAkamai Workforce Protector, formerly LayerX, is a browser extension for Chrome, Edge, Firefox and Safari that controls prompts, responses, agent actions and data exchanges across AI, SaaS, web and desktop applications, including agentic browsers and AI assistants, without proxies or a browser replacement.An 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.
How it reaches devicesA browser extension for Chrome, Edge, Firefox and Safari; Akamai says it needs no proxies and no browser replacement.

Source: Akamai Workforce Protector (formerly LayerX) · Read 11 Oct 2026

Deploys 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

On-device controlDiffersPartly describedThe page says its controls reach desktop applications; how that works on the device is not described on the page we read.

Source: Akamai Workforce Protector (formerly LayerX) · Read 11 Oct 2026

DescribedInventories 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

Browser extensionDiffersDescribedA browser extension for Chrome, Edge, Firefox and Safari that controls prompts, responses, agent actions and data exchanges.

Source: Akamai Workforce Protector (formerly LayerX) · Read 11 Oct 2026

Not 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

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 gatewayNot in our sourcesNot described on the pages we read.Not in our sourcesNot described on the pages we read.
Names the coding agents it coversDiffersNot in our sourcesMatchesManaged 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

Decides on a tool call before it runsDiffersPartlyControls agent actions, including in agentic browsers; decisions on coding agent tool calls are not described.

Source: Akamai Workforce Protector (formerly LayerX) · Read 11 Oct 2026

MatchesEvaluates 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

Controls what goes into browser AIDiffersMatchesControls prompts and data exchanges, with warn, redact, block and guide.

Source: Akamai Workforce Protector (formerly LayerX) · Read 11 Oct 2026

Not in our sources
Rolls out through EDR or device management you runDiffersNot in our sourcesMatchesDeploys through your existing EDR or MDM; no new agents.

Source: Bay homepage · Read 27 Sep 2026

Can warn or ask instead of only blockingMatchesWarn and guide are actions alongside redact and block.

Source: Akamai Workforce Protector (formerly LayerX) · Read 11 Oct 2026

MatchesAsk is one of three answers, with Allow and Deny.

Source: Bay homepage · Read 27 Sep 2026

Can block an agent, tool or actionMatchesBlock is one of its actions.

Source: Akamai Workforce Protector (formerly LayerX) · Read 11 Oct 2026

MatchesDeny 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

Has a watch-only or simulation modeDiffersNot in our sourcesMatchesSimulation Mode runs a rule without enforcing it.

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

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

Source: Bay homepage · Read 27 Sep 2026

Also covers SaaS, cloud or homegrown AIDiffersPartlyCovers AI inside SaaS and web applications through the browser.

Source: Akamai Workforce Protector (formerly LayerX) · Read 11 Oct 2026

Not in our sources
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 (demo request only).

Source: Akamai Workforce Protector (formerly LayerX) · Read 11 Oct 2026

Not 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

Where do they differ?

  • On-device control: Workforce Protector partly describes it; Bay describes it.
  • Browser extension: Workforce Protector describes it; Bay is not in our sources.
  • Names the coding agents it covers: Workforce Protector is not in our sources; Bay matches.
  • Decides on a tool call before it runs: Workforce Protector partly matches; Bay matches.
  • Controls what goes into browser AI: Workforce Protector matches; Bay is not in our sources.
  • Rolls out through EDR or device management you run: Workforce Protector is not in our sources; Bay matches.
  • Has a watch-only or simulation mode: Workforce Protector is not in our sources; Bay matches.
  • Records who or what took each action: Workforce Protector is not in our sources; Bay matches.
  • Also covers SaaS, cloud or homegrown AI: Workforce Protector partly matches; Bay is not in our sources.

Choose Workforce Protector if

  • Most AI use happens in browsers and you want to warn, redact or guide rather than block
  • People use agentic browsers or AI assistants inside SaaS apps

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

Which limits should you check?

Workforce Protector

  • Coding agents in a terminal and MCP servers on the device are not described on the page we read.
  • The acquisition date is not stated on the page, and no pricing is published.

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.

Questions people ask

Is Workforce Protector or Bay better for AI endpoint control?

Neither is scored on this site. Workforce Protector describes 1 of four product control types and Bay 1 on the pages we read, and they differ on 9 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?

Workforce Protector: Partly. Bay: Matches. Warn or ask: Workforce Protector Matches, Bay Matches.

Do Workforce Protector or Bay publish prices?

Workforce Protector: Not published (demo request only). Bay: Not published. Bay's site has a demo request and no pricing page (re-checked 11 October 2026).