Is Ent or Neo better for AI endpoint control?

Neither is scored on this site. Ent describes 2 of four product control types and Neo 1 on the pages we read, and they differ on 6 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?

Ent: Partly. Neo: Matches. Warn or ask: Ent Matches, Neo Matches.

Do Ent or Neo publish prices?

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

HEAD-TO-HEAD · FACTS ONLY

Ent vs Neo: AI endpoint control facts side by side

Short answer

Ent describes 2 of the four product control types on the pages we read and Neo describes 1; they differ on browser extension. On decisions, Ent describes some control over tool calls and Neo 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?

Filled or hatched marker: Ent
Dashed teal ring: Neo, 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?

Ent and Neo, from each product's own pages. Differs is computed from recorded statuses, not wording.
Fact	Ent	Neo
Owner	None	None
Positioning	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.	Agentic Software Control from Neo Security, Inc. (neo.ai, not Pulumi Neo): a live inventory of agents, models, skills, MCP servers and extensions on every endpoint, and runtime control that intercepts agent actions and allows, blocks or holds them for approval. Launched 20 July 2026 with $100M from Andreessen Horowitz and Bessemer; HQ Boston.
How it reaches devices	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	A lightweight endpoint sensor with no kernel module, no reboot and no OS hooks; analysis stays on the device. OS support is not listed on the pages we read; SACR (secondary) says it needs no MDM. Source: Neo: platform · Read 13 Oct 2026
On-device control	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	DescribedA live inventory of agents, models, skills, MCP servers and extensions on every endpoint, with runtime control that intercepts agent actions. Source: Neo homepage · Read 13 Oct 2026
Browser extensionDiffers	DescribedBrowser-extension deployments generally available at launch. Source: Ent press: $100M seed, 16 June 2026 · Read 13 Oct 2026	Partly described(secondary: SACR) user-mode endpoint and browser security. Source: SACR (secondary): CISO guide to endpoint control and prevention, July 2026 · Read 13 Oct 2026 · secondary source
Network or SSE proxy	Not in our sourcesNot described on the pages we read.	Not in our sourcesNot described on the pages we read.
AI or MCP gateway	Not in our sourcesNot described on the pages we read.	Not in our sourcesNot described on the pages we read.
Names the coding agents it covers	MatchesNames 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	MatchesNames Claude Code, Gemini CLI, GitHub Copilot and OpenAI Codex; Cursor is not named. Source: Neo: platform · Read 13 Oct 2026
Decides on a tool call before it runsDiffers	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	MatchesIntercepts agent actions at the endpoint and allows, blocks or holds them for approval. Source: Neo homepage · Read 13 Oct 2026
Controls what goes into browser AIDiffers	PartlyClassifies 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	Not in our sources
Rolls out through EDR or device management you runDiffers	Not in our sources	PartlyIts own lightweight sensor rather than a rollout through existing EDR or MDM. Source: Neo: platform · Read 13 Oct 2026
Can warn or ask instead of only blocking	MatchesInterventions range from a soft nudge to a hard block. Source: Ent homepage · Read 13 Oct 2026	MatchesHold an action for verified human approval. Source: Neo: platform · Read 13 Oct 2026
Can block an agent, tool or action	MatchesA hard block is one of its interventions. Source: Ent homepage · Read 13 Oct 2026	MatchesBlock is one of its runtime actions. Source: Neo: platform · Read 13 Oct 2026
Has a watch-only or simulation modeDiffers	Not in our sources	MatchesAudit mode before enforcement. Source: Neo: platform · Read 13 Oct 2026
Records who or what took each action	MatchesNatural-language investigation timelines. Source: Ent press: intent-aware prevention for AI agents, 30 July 2026 · Read 13 Oct 2026	MatchesEvery action tied to the human or agent that caused it, in an immutable audit chain. Source: Neo homepage · Read 13 Oct 2026
Also covers SaaS, cloud or homegrown AIDiffers	Not in our sources	PartlyNames SaaS and desktop AI such as Slack AI, Notion AI, Salesforce Agentforce and ChatGPT Desktop. Source: Neo: platform · Read 13 Oct 2026
Has a public price or tiers (vendor site or marketplace)	Not in our sources	Not in our sources
Built into	None	None
Works with	None in our sources	None in our sources
Price	Not published (demo request). Source: Ent homepage · Read 13 Oct 2026	Not published (demo request). Source: Neo homepage · Read 13 Oct 2026

Where do they differ?

Browser extension: Ent describes it; Neo partly describes it.
Decides on a tool call before it runs: Ent partly matches; Neo matches.
Controls what goes into browser AI: Ent partly matches; Neo is not in our sources.
Rolls out through EDR or device management you run: Ent is not in our sources; Neo partly matches.
Has a watch-only or simulation mode: Ent is not in our sources; Neo matches.
Also covers SaaS, cloud or homegrown AI: Ent is not in our sources; Neo partly matches.

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

Choose Neo if

You want to hold agent actions for human approval on the device
You want an audit mode before enforcing rules

Which limits should you check?

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.

Neo

Uses its own sensor rather than the EDR or MDM you run, and OS support is not listed on the pages we read.
No price is published.

Line up Ent and Neo with others Run the finder