Neo

Neo is an agentic software security platform that helps enterprises discover AI agents, MCP servers, applications, and extensions, assess configuration risks, attribute activity, and enforce security policies across endpoints.
Pricing Model: Free + Paid
https://www.neo.ai/
Release Date: 20/07/2026

Neo Features:

  • Real-time inventory of AI agents, AI-enabled applications, MCP servers, plugins, extensions, and traditional software across enterprise endpoints.
  • Neoverse agentic software knowledge base mapping software capabilities, risks, behaviors, models, and related security information.
  • Capability and risk intelligence for identifying permissions, configuration problems, data access, and security gaps.
  • Real-time attribution connecting actions to the responsible human, agent, application, or identity.
  • Granular policies controlling tool calls, API access, data movement, agent actions, and other software activity.
  • Native endpoint enforcement that can allow, block, or hold risky agent actions for approval before sensitive resources are accessed.
  • LLM-powered policy creation that lets security teams describe desired controls and generate corresponding rules.
  • Immutable activity trails and security context for investigating agent behavior and monitoring enterprise software actions.
  • Lightweight endpoint deployment supporting macOS, Windows, and Linux without kernel modules, OS hooks, or required reboots.
  • On-device analysis designed to keep endpoint data local while providing security visibility and control.

Neo Description:

Neo for Agentic Software Security

Neo is an enterprise cybersecurity platform focused on controlling software as applications increasingly gain agentic capabilities. The platform is designed for security and operations teams that need visibility into AI agents, AI-enabled applications, models, MCP servers, extensions, browsers, identities, and traditional software operating throughout an organization. Neo combines software inventory, configuration intelligence, activity attribution, policy management, and native enforcement into a real-time control layer for agentic environments.

Agentic Software Inventory

Neo creates a live inventory of software operating across enterprise endpoints. This includes AI agents, models, skills, MCP servers, extensions, plugins, scripts, binaries, and traditional applications that have acquired agentic capabilities. The platform classifies discovered software and provides information about its AI capabilities, associated models, permissions, and potential risks.

Neoverse Knowledge Base

Neoverse is Neo’s continuously updated agentic software knowledge base. It maps the capabilities, risks, and behaviors of agentic software and provides context for the platform’s security controls. Neo shows examples including coding agents, AI applications, models, command-line tools, and MCP servers, helping security teams understand software before and after it enters their environments.

Configuration and Risk Intelligence

Neo analyzes how software is configured and identifies security concerns such as excessive permissions, broad credentials, connected tools, and inappropriate data access. Security teams can review the configuration of individual agents and applications to understand what models they use, what tools they can access, how much autonomy they have, and which business data they can reach.

Real-Time Attribution

The platform provides attribution for software activity by connecting actions to the human user, delegated agent, application, or identity responsible for them. Neo’s activity trails are designed to provide security teams with context about what happened, which software initiated an action, and which identity was associated with the activity.

Granular Security Policies

Neo allows organizations to establish policies governing software behavior at a detailed level. Policies can cover tool calls, API access, data movement, credential access, exports, code operations, and other agentic workflows. The platform also includes an LLM-powered approach that allows security teams to describe controls using natural language and have Neo build corresponding rules.

Native Endpoint Enforcement

Neo enforces controls directly at the endpoint rather than depending on another security product to perform enforcement. When an agent attempts a controlled action, Neo can allow it, block it, or place it on hold for approval before sensitive systems or information are accessed. The company describes this as native enforcement for agentic software activity.

Security Monitoring and Audit Trails

Neo provides security teams with activity context and audit trails for investigating software actions. Examples presented by the company include blocking access to credentials, holding large data exports for approval, allowing signed code operations, and monitoring bulk communications. These controls are designed to connect activity with the responsible agent or identity and provide a record of the resulting security decision.

Enterprise Deployment

Neo is designed for enterprise environments and currently supports macOS Monterey 12 and later, Windows 10 version 1607 or later on x64, and Linux. The company states that its endpoint sensor does not require a kernel module, OS hooks, or a reboot. Neo also describes a lightweight deployment approach intended to minimize endpoint impact.

Privacy and Local Processing

Neo states that its endpoint architecture can perform analysis locally so that data does not need to leave the device for the platform’s security functions. The company describes the endpoint environment as encrypted and isolated, with data remaining local as part of its privacy-oriented deployment approach.

Enterprise Agentic Security Use Cases

Neo is intended for security teams managing organizations where AI software operates across development tools, browsers, collaboration applications, cloud services, databases, identity systems, and other enterprise infrastructure. Its controls are designed to provide visibility into both human and non-human activity while allowing organizations to establish rules for how agentic software can access data and perform actions.

Frequently Asked Questions

What is Neo?

Neo is an agentic software security platform designed to give enterprises visibility, attribution, policy control, and native enforcement over AI-driven and traditional software activity.

What does Neo secure?

Neo is designed to secure AI agents, AI-enabled applications, MCP servers, extensions, browsers, identities, and traditional software with agentic capabilities.

What is Neoverse?

Neoverse is Neo’s agentic software knowledge base that maps the capabilities, risks, and behaviors of agentic software used in enterprise environments.

Can Neo identify who performed an action?

Yes, Neo provides real-time attribution that connects software actions with the responsible human, agent, application, or identity.

Can Neo block AI agent actions?

Yes, Neo can enforce policies at the endpoint and allow, block, or hold agent actions before sensitive systems or data are accessed.

Does Neo require a kernel module?

No, Neo states that its endpoint deployment does not require a kernel module, OS hooks, or a reboot.

Which operating systems does Neo support?

Neo currently lists support for macOS Monterey 12 and later, Windows 10 version 1607 or later on x64, and Linux.

Does Neo publish pricing?

No public starting price was verified for Neo, and its enterprise platform is presented through a demo-based sales process.

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