Neo exits stealth with $100M for enterprise AI control

Neo, an American-Israeli cybersecurity startup, emerged from stealth on Monday after raising $100 million from Andreessen Horowitz, Bessemer Venture Partners, Craft Ventures and Merlin Ventures. The funding covered seed and Series A rounds and will be used to expand engineering and go-to-market teams.

Neo’s platform provides a control layer across enterprise environments to monitor AI agents, AI-enabled applications and traditional software. The system maintains a continuous catalog of active elements — including agents, models, extensions and MCP servers — and evaluates those assets for excessive access privileges and configuration vulnerabilities. It provides real-time attribution that maps software actions back to the originating human user, automated agent or application identity.

Security teams can enforce granular policies on tool calls, data movement, agent-driven workflows and API access. The controls allow operators to block unauthorized activities or pause suspicious operations for manual review, enabling organizations to manage automated software behavior without stopping legitimate processes.

Neo was founded by Nick Warner (CEO), Shlomi Salem (chief product officer) and Eran Shirazi (CTO). Warner previously held leadership roles at SentinelOne, Cylance, McAfee and Forepoint. Salem led detection engineering at SentinelOne, and Shirazi co-founded EasySend.

According to Warner, “AI agents and agent-like capabilities are being embedded into browsers, developer tools, SaaS platforms and traditional applications, giving software the ability to reason, act, invoke tools and move through workflows with valid user permissions. Neo gives enterprises the real-time control layer they need to understand what software agents can do, govern how they behave and secure adoption without slowing down the business.”

Investors backed Neo at an early stage. The company plans to direct the new capital toward product development and scaling sales and support functions to reach enterprise customers that require tighter governance over AI-driven processes.

Neo’s product targets three problems that arise as AI features are added to enterprise software: limited visibility into active automated agents, unclear attribution when software performs actions, and weak policy enforcement that can allow data exfiltration or credential misuse. The platform combines discovery, continuous evaluation and enforcement to give security operations teams a way to map and control agent activity across complex IT environments.