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๐—ก๐—ฒ๐—ผ ๐—˜๐˜…๐—ถ๐˜๐˜€ ๐—ฆ๐˜๐—ฒ๐—ฎ๐—น๐˜๐—ต ๐˜„๐—ถ๐˜๐—ต $๐Ÿญ๐Ÿฌ๐Ÿฌ๐—บ ๐˜๐—ผ ๐—š๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐—ป ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—”๐—œ

  • Jul 22
  • 1 min read


Neo has emerged from stealth with $100m in funding to help enterprises manage and secure the rapid spread of AI agents across their software systems. The round was led by Andreessen Horowitz and Bessemer Venture Partners, with Craft Ventures and Merlin Ventures also participating. The company plans to use the capital to expand its engineering and go-to-market teams as businesses race to establish oversight of fast-growing agentic software.


The firm argues that enterprise environments are changing faster than legacy security programs can handle, with staff adopting new AI tools from the ground up and incumbent vendors adding agentic features to already-approved applications. Neo offers a real-time control layer built around five capabilities, including an inventory of AI agents and applications, capability and risk intelligence, action-level attribution, granular policy controls, and native enforcement that can block dangerous activity. Its founding team includes former SentinelOne leaders, among them chief executive and co-founder Nick Warner.


We feel that agentic tools that act on their own initiative, inherit permissions, and move through workflows raise clear governance questions for advisors, platforms, and integrators weighing where automation belongs. Neo reflects a wider recognition that as firms embed AI into regulated processes, the ability to monitor, attribute, and control that software becomes as important as the capabilities themselves.


Knote: I would go as far as to argue that establishing a good governance infrastructure for AI will be one of the top roadmap items for 2027. As firms move from "magic box" mode to real enterprise implementation, governance and control is rapidly becoming a serious issue.


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