Snapshot
Continue to About ↓- What it does
- NEO is an agentic software control platform that deploys a lightweight endpoint sensor on Mac, Windows and Linux machines to inventory the AI agents, MCP servers, models, extensions and scripts running there, inspect how each is configured, and allow, block or hold agent actions in real time before they reach sensitive data or systems.
More detail
- It is sold to enterprise security teams as a way to close the gap between discovering shadow AI and actually controlling it, with per-action attribution and an audit trail.
- Best for
- Enterprise SecOps, CISO and IT security teams that have AI agents, coding assistants and MCP servers spread across a large managed or unmanaged endpoint fleet and need live inventory, configuration posture and endpoint-level enforcement with an audit trail.
- Pricing
- No pricing is published.
More detail
- Neo Security, Inc. does not disclose subscription price, per-endpoint rate, minimum seat count, contract term, deployment or professional-services fees, or support tiers on any official page
- the only route shown is a sales-led demo request and info@neo.ai.
- Treat total cost
- Main limitation
- Small teams, individual developers or buyers wanting self-serve signup and published pricing, since NEO is demo-led enterprise software with no public price list.
More detail
- Also a poor fit where agent activity never touches a managed endpoint, because control is enforced by an endpoint sensor.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- NEO is an agentic software control platform that deploys a lightweight endpoint sensor on Mac, Windows and Linux machines to inventory the AI agents, MCP servers, models, extensions and scripts running there, inspect how each is configured, and allow, block or hold agent actions in real time before they reach sensitive data or systems.
- It is sold to enterprise security teams as a way to close the gap between discovering shadow AI and actually controlling it, with per-action attribution and an audit trail.
What it helps with
- Shadow AI sprawl: agents, MCP servers, models, extensions and scripts installed across endpoints that security teams did
- Risky agent configuration such as over-broad credentials, excessive permissions, unsupervised autonomy and data uploaded
- Agent actions reaching sensitive systems unchecked, for example reading cloud credential files or bulk-exporting CRM dat
- No clear attribution tying an AI-driven action to the human, agent, app or identity that caused it
- Limited visibility into activity inside isolated agent environments such as agent VMs, which ordinary endpoint tools can
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Endpoint software inventory | Yes | Discovers and classifies binaries, scripts, extensions, agents, MCP servers and the models behind them across endpoints |
| Configuration and posture analysis | Yes | Surfaces model, autonomy level, connected tools, credential scope and data scope, flagging misconfigurations and excessive permissions |
| Real-time endpoint enforcement | Yes | Allows, blocks or holds agent actions for approval at the endpoint before sensitive data or systems are touched; vendor cites a 12 ms block example |
| Natural-language policy building | Yes | Vendor states a built-in LLM lets SecOps teams ask questions and have rules built automatically |
| Attribution and audit trail | Yes | Ties each action to the originating human, agent, app or identity and keeps an immutable audit record |
| Neoverse agentic knowledge base | Yes | Vendor-maintained database of agentic software capabilities, risks and behaviours, included with every deployment; ratings reflect vendor methodology |
| SIEM alerting | Yes | Vendor describes alerting to SIEM on policy violations |
| On-device data analysis | Limited | Vendor claims analysis stays local with no network egress; a vendor claim, not independently verified |
| Public pricing or self-serve signup | No | No published price list, free tier or self-serve purchase path; access is via demo request |
| Coverage outside managed endpoints | No | Control is enforced by an endpoint sensor, so agent activity that never touches a managed endpoint is out of scope by design |
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Evidence
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- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- neo.ai
Technical profile details
Record ID
38caf2a1-68f5-4313-b365-6785a363a6edCanonical URLhttps://profiles.scribble.network/listing/neo-38caf2a1