Neo
by Neo Security, Inc.
Agentic software control — reveal, understand, and control every human and non-human action on every endpoint
Neo is an agentic software control platform that discovers, analyzes, and enforces policy on AI agents, AI-enabled applications, MCP servers, and traditional software across enterprise endpoints in real time. It is built for enterprise SecOps and security teams who need attribution and runtime enforcement for AI-driven environments, and it emerged from stealth on July 20, 2026 with $100 million in funding.
Neo, from Neo Security, Inc., is a control layer that governs AI agents, AI-enabled applications, and traditional software across enterprise environments, and it emerged from stealth in July 2026 with $100 million raised across seed and Series A rounds from Andreessen Horowitz, Bessemer Venture Partners, Craft Ventures, and Merlin Ventures. The platform maintains a continuous catalog of active elements — agents, models, browser extensions, and MCP servers — then identifies excessive access privileges and configuration vulnerabilities, provides real-time attribution that traces each individual action back to the originating user or application, and enforces granular policies over tool calls, data movement, agentic workflows, and API access, including restricting or pausing suspicious operations for manual review. Its runtime enforcement layer intercepts and controls agent actions before they reach sensitive data using policy-driven decisions, and its policy engine is LLM-powered so SecOps teams can define rules through natural-language queries; a bundled knowledge base called Neoverse supplies pre-built intelligence on the capabilities and risks of specific agentic software. Neo deploys as a lightweight endpoint agent requiring no kernel module and no reboot, supports macOS Monterey 12 and later and Windows 10 1607 and later, and claims deployment in under an hour; the company reports SOC 2 Type II, GDPR, and HIPAA compliance. Neo was founded by CEO Nick Warner, previously in leadership at SentinelOne, Cylance, McAfee, and Forcepoint, alongside CPO Shlomi Salem, a former SentinelOne detection-engineering lead, and CTO Eran Shirazi, a co-founder of EasySend.
At a Glance
- Category
- Governance & Security
- Pricing
- Contact for pricing
- Target Market
- CISOs, CIOs, Enterprise Security Teams, SecOps Engineers
Key Features
- ✓Agentic software discovery and inventory
Maps all agentic software — agents, models, MCP servers, and browser extensions — across enterprise endpoints into a continuous catalog.
- ✓Configuration and privilege analysis
Identifies misconfigurations, excessive access privileges, and permission gaps in deployed agentic software.
- ✓Runtime enforcement
Intercepts and controls agent actions before they access sensitive data using policy-driven decisions, and can restrict or pause suspicious operations for manual review.
- ✓Real-time attribution
Traces every action back to the specific human or agent responsible for it.
- ✓LLM-powered policy engine
Lets SecOps teams define enforcement rules through natural-language queries instead of hand-writing policy syntax.
- ✓Neoverse knowledge base
Ships pre-built intelligence on the capabilities and risks of known agentic software to speed up policy decisions.
Use Cases
- •Securing AI coding assistants
Control what coding agents and assistants can read, execute, and exfiltrate on developer machines.
- •MCP server governance
Discover unmanaged MCP servers and extensions on endpoints and enforce which tool calls and APIs they may reach.
- •Preventing agent-driven data loss
Stop unauthorized data movement and credential theft by autonomous workflows before it happens.
Ideal For
Best For
- ✓Inventorying AI agents, MCP servers, models, and extensions across employee endpoints
- ✓Blocking agent and coding-assistant access to sensitive data with runtime policy enforcement
- ✓Attributing every agent action back to the responsible human or application for investigations
Market Analysis
Pros
- ✓Endpoint-level control covers shadow agents that gateway-only tools miss
- ✓$100M from a16z, Bessemer, Craft, and Merlin plus a founding team out of SentinelOne, Cylance, and McAfee
- ✓SOC 2 Type II, GDPR, and HIPAA compliance claimed at launch
Cons
- ✗Emerged from stealth in July 2026, so independent production references are scarce
- ✗Endpoint coverage is limited to macOS 12+ and Windows 10 1607+ — no Linux stated
- ✗No public pricing and no named customers
Pricing
Enterprise
Contact for pricing
- ✓Endpoint agentic software discovery
- ✓Runtime enforcement and policy engine
- ✓Real-time attribution
- ✓Neoverse risk intelligence
Pricing is not published. Neo deploys as a lightweight endpoint agent (no kernel module, no reboot) on macOS 12+ and Windows 10 1607+, with claimed deployment in under one hour.
Sources
This page was written from 2 sources, 1 on domains other than neo.ai.
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