Runlayer Secures $30M in Series A Funding
A cybersecurity platform specializing in AI governance, Runlayer, secured $30 million in Series A funding, bringing its total capital to $42 million.
Company Overview
Runlayer, a New York-based company established in 2025, provides a centralized control system for AI tools within enterprise environments. This platform enables organizations to monitor AI access and usage patterns, allowing employees to create and deploy AI agents across internal systems while maintaining oversight.
Funding Details
The funding round, led by Felicis, with additional participation from Khosla Ventures, will support expansion of the company’s engineering and sales teams. Runlayer, which exited stealth mode in November 2025, has already gained adoption among Fortune 500 enterprises and high-growth organizations.
Platform Features
The solution integrates identity management, permission controls, and policy enforcement into a unified interface, offering real-time monitoring of AI activities. Runlayer’s system is designed to detect and mitigate threats such as prompt injection attacks, tool poisoning, data exfiltration, output manipulation, intent drift, unauthorized managed code proxies (MCPs), and unregulated agents.
Industry Context
The funding follows recent developments in AI security, including reports of vulnerabilities in third-party tools and rising concerns about AI-driven threats. Industry analysts note that as AI adoption accelerates, enterprises are prioritizing solutions that balance innovation with risk mitigation.
Market Trends
Runlayer’s approach aligns with this trend, offering a structured method to manage AI deployment without compromising operational integrity. The company’s growth reflects broader market shifts, as enterprises seek to address gaps in AI governance. With the increasing complexity of AI workflows, organizations are investing in platforms that provide transparency, control, and compliance.
Expert Insights
Future Outlook
As the cybersecurity sector continues to adapt to AI’s dual role as both a tool and a vulnerability, solutions like Runlayer’s highlight the importance of proactive risk management. The platform’s emphasis on real-time visibility and policy enforcement underscores the need for robust frameworks to safeguard AI-driven operations.
