AI security startup Runlayer has raised $30 million in Series A funding, bringing its total capital raised to $42 million as it accelerates development of its enterprise-focused AI control platform. Founded in 2025 and based in New York, the company is building what it describes as a secure “control layer” for managing AI tools and autonomous agents across large organizations.
The platform is designed to give enterprises centralized oversight over how employees build, deploy, and interact with AI agents across internal systems. It provides identity management, permissions enforcement, policy controls, and real-time visibility into agent activity, effectively acting as a governance layer between users and AI-powered workflows.
Runlayer also positions itself as a security solution for emerging AI-specific threats, including prompt injection attacks, tool poisoning, data exfiltration, and manipulation of AI outputs. The system aims to detect and block risky behaviors such as unmanaged agents, shadow integrations, and deviations in intended model behavior, while guiding employees toward approved tooling.
The funding round was led by Felicis, with participation from Khosla Ventures. The company plans to use the investment to scale its engineering and go-to-market teams as demand for enterprise AI governance tools continues to grow. Since emerging from stealth in late 2025, Runlayer has already seen early adoption among Fortune 500 companies and high-growth technology firms.
Executives at Runlayer say the shift toward “AI-maximalist” organizations—where entire workforces interact with autonomous agents rather than a small subset of users—requires a new security paradigm built specifically for AI-native environments. The platform is intended to address that gap by combining access control, monitoring, and AI-specific threat detection into a single unified system.
