Skip to content
Endpoint AI Finder

HEAD-TO-HEAD · FACTS ONLY

Bloom vs Ent: AI endpoint control facts side by side

Short answer

Bloom describes 0 of the four product control types on the pages we read and Ent describes 2; they differ on on-device control and browser extension. On decisions, Bloom describes some control over tool calls and Ent describes some control over tool calls. 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?

Bloom: described at 0 of 4 product control positions, partly at 1 (on-device control).AI servicesMCP serversDEVOn-device controlBRWBrowser extensionNETNetwork or SSE proxyGWYAI or MCP gatewayPOLPolicy: no product
  • Filled or hatched marker: Bloom
  • Dashed teal ring: Ent, 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?

Bloom Security and Ent, from each product's own pages. Differs is computed from recorded statuses, not wording.
FactBloomEnt
OwnerNoneNone
PositioningAn endpoint security company built around "Securing the AI-Native Endpoint": discovery of the software, extensions and AI tools running on devices, with policy enforcement across package and extension marketplaces. Offices in Wilmington, Delaware and Tel Aviv.An intent-aware AI endpoint: one programmable policy for people and AI agents, with interventions from a soft nudge to a hard block, an on-device small language model that classifies sensitive data, and investigation timelines written in plain language. Use cases: insider risk, last-mile threats such as ClickFix, AI usage control and data security.
How it reaches devicesDeployment method not published on the pages we read (re-checked 11 October 2026).

Source: Bloom Security homepage · Read 27 Sep 2026

A single lightweight agent across Windows, macOS, Linux and modern browsers, run as SaaS or self-hosted in your own cloud; rollout through MDM is not stated.

Source: Ent press: intent-aware prevention for AI agents, 30 July 2026 · Read 13 Oct 2026

On-device controlDiffersPartly describedDiscovers software, extensions and AI on the endpoint and automatically scales back overpermissioned MCP servers; how it reaches the device is not published.

Source: Bloom Security homepage · Read 27 Sep 2026

DescribedA single lightweight agent across Windows, macOS and Linux with one programmable policy for people and AI agents.

Source: Ent press: intent-aware prevention for AI agents, 30 July 2026 · Read 13 Oct 2026

Browser extensionDiffersNot in our sourcesNot described on the pages we read.DescribedBrowser-extension deployments generally available at launch.

Source: Ent press: $100M seed, 16 June 2026 · Read 13 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 sourcesMatchesNames OpenAI Codex, Claude Code, Claude Cowork, GitHub Copilot and Cursor.

Source: Ent press: intent-aware prevention for AI agents, 30 July 2026 · Read 13 Oct 2026

Decides on a tool call before it runsPartlyAutomatically scales back overpermissioned MCP servers; decisions on individual calls are not described.

Source: Bloom Security homepage · Read 27 Sep 2026

PartlyBlocks risky agent behavior where needed; per-tool-call mechanics are not described.

Source: Ent press: intent-aware prevention for AI agents, 30 July 2026 · Read 13 Oct 2026

Controls what goes into browser AIDiffersNot in our sourcesPartlyClassifies sensitive data at the point of use on the device and in browsers; prompt-level controls are not detailed.

Source: Ent press: intent-aware prevention for AI agents, 30 July 2026 · Read 13 Oct 2026

Rolls out through EDR or device management you runNot in our sourcesNot in our sources
Can warn or ask instead of only blockingDiffersNot in our sourcesMatchesInterventions range from a soft nudge to a hard block.

Source: Ent homepage · Read 13 Oct 2026

Can block an agent, tool or actionDiffersPartlyEnforces policies across npm, Chrome Web Store and Open VSX.

Source: Bloom Security homepage · Read 27 Sep 2026

MatchesA hard block is one of its interventions.

Source: Ent homepage · Read 13 Oct 2026

Has a watch-only or simulation modeNot in our sourcesNot in our sources
Records who or what took each actionDiffersNot in our sourcesMatchesNatural-language investigation timelines.

Source: Ent press: intent-aware prevention for AI agents, 30 July 2026 · Read 13 Oct 2026

Also covers SaaS, cloud or homegrown AINot in our sourcesNot 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.

Source: Bloom Security homepage · Read 27 Sep 2026

Not published (demo request).

Source: Ent homepage · Read 13 Oct 2026

Where do they differ?

  • On-device control: Bloom partly describes it; Ent describes it.
  • Browser extension: Bloom is not in our sources; Ent describes it.
  • Names the coding agents it covers: Bloom is not in our sources; Ent matches.
  • Controls what goes into browser AI: Bloom is not in our sources; Ent partly matches.
  • Can warn or ask instead of only blocking: Bloom is not in our sources; Ent matches.
  • Can block an agent, tool or action: Bloom partly matches; Ent matches.
  • Records who or what took each action: Bloom is not in our sources; Ent matches.

Choose Bloom if

  • Your first worry is unvetted extensions and packages arriving on developer machines
  • You want an inventory of everything on the endpoint before you write AI-specific rules

Choose Ent if

  • You want one policy for people and AI agents, with nudges as well as blocks
  • You need device and browser coverage from one agent

Which limits should you check?

Bloom

  • Deployment method and pricing are not published.
  • Decisions on individual tool calls and an activity record are not described on the pages we read.
  • Limited company information on its own pages: they do not name investors; funding is known from press coverage (Ctech, 30 July 2026).

Ent

  • Per-tool-call mechanics and rollout through MDM are not described on the pages we read.
  • Uses its own agent, and no price is published.

Questions people ask

Is Bloom or Ent better for AI endpoint control?

Neither is scored on this site. Bloom describes 0 of four product control types and Ent 2 on the pages we read, and they differ on 7 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?

Bloom: Partly. Ent: Partly. Warn or ask: Bloom Not in our sources, Ent Matches.

Do Bloom or Ent publish prices?

Bloom: Not published. Ent: Not published (demo request).