Anysource Inc.
Runlayer is the enterprise MCP platform that securely connects AI to the enterprise stack with custom threat detection, fine-grained permissions, and complete observability for AI deployments. They are redefining how AI works, moving from answering questions to taking action inside the tools you already use.
At a Glance
- Enterprise IT and Security Teams
- Engineering Organizations
- AI-native companies
- Companies using AI tools like Cursor, Claude, ChatGPT, VS Code, GitHub Copilot
- +2 more
AI Tools by Anysource Inc.
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Runlayer
MCP Server Management Platform
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Latest News
Runlayer product update - 0.24.0
Announcing Cursor and Runlayer's partnership on Cursor Hooks
Runlayer Joins Anthropic, OpenAI, & Google as AAIF Founding Member
Runlayer Raises $11M to Scale Enterprise MCP Infrastructure
Products & Services
All-in-one security tool and control plane for Model Context Protocol (MCP) that acts as a security layer for identifying AI agents and controlling their access to apps. The platform makes it easy to create, host, and scale MCP servers across organizations with enterprise-grade security, observability, and governance.
Market Position
Runlayer is positioned as the first and leading enterprise-grade MCP control plane and security platform. While MCP (Model Context Protocol) is the de facto open-source standard for allowing AI agents to connect with data and systems, Runlayer is the enterprise infrastructure layer that makes MCP production-ready with security, observability, and governance. They differentiate by offering custom threat detectors for MCP-specific attack vectors (tool poisoning, tool shadowing, command injections) that generic LLM guardrails don't protect against. As a founding member of AAIF alongside Anthropic, OpenAI, and Google, they are helping shape the MCP standard itself.
Leadership
Founders
Andrew Berman
Serial entrepreneur who co-founded Nanit (leading AI consumer hardware product) and Vowel (acquired by Zapier). Previously, he was Director of AI at Zapier where he built one of the first MCP servers. Third-time founder.
Tal Peretz
Led ML in the Israeli Air Force. He built and launched Zapier MCP in 2 days which became Zapier's fastest growing product. Former staff engineer at Zapier and co-founder from Zapier.
Vitor Balocco
Previously a Staff AI Engineer at Zapier and is a recognized MCP security expert, speaking at international conferences on vulnerabilities and defense. Co-founder from Zapier.
Executive Team
Andrew Berman
CEO & Co-Founder
Serial entrepreneur, founded Nanit and Vowel (acquired by Zapier), former Director of AI at Zapier
Tal Peretz
Co-Founder
Led ML in the Israeli Air Force, creator of Zapier MCP
Board of Directors
Founding Story
The founding team left their jobs at Zapier in August 2025 after experiencing the enterprise problems of MCP firsthand. Having built AI at scale and raised over $200M cumulatively across their previous ventures, they launched Runlayer to solve the security and observability blind spots in the Model Context Protocol that make it risky for enterprises to roll out AI agents to users. They saw the enterprise problems of MCP from miles away and built the platform to address it.
Business Model
Revenue Model
SaaS subscription model for enterprise MCP platform with pricing based on usage and organization size. Plans to charge based on API usage and offer local on-premise deployment and multi-cloud environment support options.
Target Markets
- Enterprise IT and Security Teams
- Engineering Organizations
- AI-native companies
- Companies using AI tools like Cursor, Claude, ChatGPT, VS Code, GitHub Copilot
- Organizations deploying AI agents to business users
- Companies requiring SOC 2 and HIPAA compliance for AI deployments
- Securing AI agent access to enterprise tools and data
- Managing MCP server sprawl across organizations
- Providing observability and audit trails for AI agent activity
- Building custom AI automations for enterprise users
- Preventing data leaks from AI tools (PII, customer data, code)
- Governance and compliance for AI deployments
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