Neo, a Boston-based startup building what it calls an “agentic software control” platform, has raised $100 million in funding as it steps out of stealth to tackle one of enterprise security’s newest headaches: software that acts on its own.
Backers in the round include Andreessen Horowitz, Bessemer Venture Partners, Craft Ventures, and Merlin Ventures. The company says the capital will go toward expanding operations and accelerating product development.
The raise reflects a growing conviction among investors that AI agents represent not just a productivity revolution, but a brand new attack surface. As enterprises rush to deploy autonomous agents, AI enabled applications, browser copilots, and MCP servers, security teams are discovering that their existing tooling, built for a world of human driven software, often can’t even see this new activity, let alone govern it. A wave of startups has formed around the problem in recent months, with companies like Tenet Security and Geordie recently raising seed rounds to police runaway or hijacked agents.
Neo is betting that the category needs more than a point solution, and its founding team suggests it has the pedigree to build a platform. The company was founded in 2025 by three former executives of cybersecurity heavyweight SentinelOne: CEO Nick Warner, who previously served as SentinelOne’s president and COO and helped steer the company through its landmark 2021 IPO; chief product officer Shlomi Salem, formerly SentinelOne’s VP of research; and Eran Shirazi, who previously led research at Any.do.
That resume clearly resonated with investors. Prior to this announcement, Neo had reportedly raised a $25 million seed round in 2025 led by Andreessen Horowitz and Merlin Ventures, followed by a larger round that closed earlier this year, all while the company disclosed almost nothing publicly about what it was building.
Now the picture is coming into focus. Neo describes its platform as a control layer for what it calls the modern AI driven enterprise, giving security operations teams inventory, intelligence, attribution, and policy enforcement across the sprawl of agentic software.
The starting point is visibility. Neo’s platform generates a full inventory of the AI agents, AI enabled applications, plugins, browser extensions, MCP servers, and traditional software turning agentic inside an organization. That inventory is enriched by what the company calls Neoverse, a continuously updated knowledge base cataloging the capabilities, behaviors, and risks of agentic software in the wild, essentially a threat intelligence feed for the agent era.
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From there, the platform layers on risk analysis, helping teams understand what each piece of software can actually do, what data and systems it can touch, and whether it’s configured safely. Every action gets an audit trail tying activity back to the specific human, agent, application, or identity responsible, a critical capability at a moment when regulators and boards are beginning to ask who, exactly, approved what an AI agent just did.
Perhaps most notably, Neo enforces its own policies natively rather than handing enforcement off to a firewall, proxy, or other third party tool. Organizations can set granular, identity or group specific rules governing tool calls, API access, data movement, and agentic workflows, and the platform can block risky activity, malicious models, and out of bounds prompts directly.
Whether enterprises will consolidate on a single agentic control platform, or stitch together the same patchwork of point products that has long defined security stacks, remains an open question. But with agent adoption accelerating faster than governance frameworks can keep up, Neo’s investors are clearly betting that whoever solves the visibility and control problem first will own a foundational layer of the AI native enterprise.
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