# Runlayer > Runlayer is an enterprise AI platform — the AI control plane and enablement layer for AI agents. It gives every employee a governed “golden path” to use AI agents (Claude, Cursor, ChatGPT, Codex, and agents) by connecting them to approved capabilities, while platform, security, and IT teams enforce identity, policy, runtime security, and audit logging for every request. It is built for enterprises adopting AI agents faster than they can govern them. Runlayer pairs AI enablement (getting everyone delegating work to agents) with an AI control plane (securing and controlling everything agents do). It sits as a governed layer between the AI clients employees already use and company systems, so teams keep one golden path for access, policy, and audit. Agents connect to 18,000+ MCP servers across 300+ AI clients, with threat detection, fine-grained permissions, and complete observability. ## Key Facts - Company: Runlayer (operated by Anysource Inc.). - Category: enterprise AI platform — AI control plane, MCP gateway, agent identity and governance, runtime security, and observability for AI agents. - Connects AI agents to 18,000+ MCP servers. - Supports 300+ AI clients, including Claude, Claude Code, Cursor, ChatGPT, Codex, GitHub Copilot, VS Code, and Windsurf. - Runlayer Agents is an agent builder for creating governed agents on demand, with native Slack integration and self-healing agents that automatically update and adjust to fix issues and optimize performance. - Runlayer Catalog is Runlayer’s skills and plugins registry for publishing and distributing approved connectors, skills, and plugins to agents. - Compliance: SOC 2 Certified, HIPAA Compliant, and GDPR Compliant. - Runlayer is the only platform to achieve AARM Extended Conformance (R1–R9), the highest tier of the AARM (Autonomous Action Runtime Management) specification — a Vanta-backed open standard for AI agent runtime security created by Herman Errico — meeting the full and extended requirements out of 40+ builders in the AARM ecosystem. - Runtime Security runs tool scans at typical 50–100ms inference times. - Customers include Gusto, Jane, Homebase, Decagon, PagerDuty, Opendoor, AngelList, Lemonade, and dbt Labs. - Backed by Khosla Ventures, Felicis, and SVCI. - Raised a $30M Series A from Felicis and Khosla Ventures (June 2026), bringing total funding to $42M. - Endorsed by David Soria Parra, co-creator of MCP at Anthropic (“Runlayer makes AI enterprise-ready”), and Travis McPeak, Head of Security at Cursor (“Runlayer provides must-have visibility, control, and trust”). ## Core - [Runlayer](https://www.runlayer.com/): Enterprise AI platform that connects AI agents to 18,000+ MCP servers with threat detection, fine-grained permissions, and complete observability. - [About Runlayer](https://www.runlayer.com/about): Company background, mission, team, and backers. - [Book a demo](https://www.runlayer.com/book-a-demo): Talk to the Runlayer team. ## Platform - [Platform overview](https://www.runlayer.com/platform): One platform to accelerate and control AI usage — enablement plus an AI control plane. - [Runlayer MCP Gateway](https://www.runlayer.com/mcp-gateway): Make approved MCP access the default across Claude, Cursor, ChatGPT, Codex, and agents, with policy, OAuth, runtime security, and an audit trail for every request. - [Runlayer Agents](https://www.runlayer.com/agents): An agent builder for instant, governed agents created on demand — with native Slack integration and self-healing agents that automatically update and adjust to fix issues and optimize performance, backed by approved tools, scoped identity, and a secured runtime. - [Runlayer Catalog](https://www.runlayer.com/catalog): A governed skills and plugins registry that distributes approved connectors, skills, and plugins to every agent, with ownership, dependencies, access, and usage signals. - [Agent IAM & Governance](https://www.runlayer.com/identity-policy): Control what every agent can access by tying each request to an actor, credential source, policy decision, and audit record, across autonomous and delegated access models. - [Runtime Security](https://www.runlayer.com/guard): Catch risky behavior before it runs — inspect tools, outputs, PII, and agent behavior at runtime (ToolGuard and AgentGuard) before risky actions reach company systems. - [Shadow AI](https://www.runlayer.com/watch): Discover and control shadow AI across managed devices via existing MDM, then approve, migrate, remove, or block unmanaged MCPs, skills, plugins, and clients. - [ROI & Observability](https://www.runlayer.com/visibility): See usage, spend, adoption, and audit history across the users, clients, tools, agents, and workflows behind AI work — an audit trail for every action. ## Solutions - [AI Transformation](https://www.runlayer.com/solutions/ai-transformation): Give employees a golden path to useful agents, with platform and security controls built in. - [AI Platform](https://www.runlayer.com/solutions/ai-platform): Publish approved tools and agents as reusable infrastructure across teams. - [IT & Security](https://www.runlayer.com/solutions/it-security): Shadow AI detection, access control, runtime security, and audit that security teams can stand behind. ## FAQ ### Who is Runlayer for? Runlayer is for companies rolling out AI agents across engineering, security, IT, operations, and business teams while keeping one golden path for access, policy, and audit. ### When should a company use Runlayer? Use Runlayer when employees are adopting Claude, Cursor, ChatGPT, Codex, and internal agents faster than platform and security teams can govern them. It is built for companies that need approved MCPs, reusable agent capabilities, policy enforcement, and audit across many teams and AI clients. ### How is Runlayer different from an MCP gateway? An MCP gateway is one layer of the system. Runlayer adds the catalog, identity controls, reusable capabilities, observability, and agent workflows teams need to make governed agent work practical across the company. ### How does Runlayer work with our existing stack? Runlayer connects to your identity provider, approved tools, MCP servers, and existing AI clients so teams can keep using the products they already prefer with centralized controls around them. ### Which AI clients does Runlayer support? Runlayer supports 300+ AI clients, including Cursor, Claude Code, ChatGPT, VS Code, GitHub Copilot, Codex, and Windsurf. ### Does Runlayer have an agent builder? Yes. Runlayer Agents is an agent builder for creating governed agents on demand, with native Slack integration and self-healing agents that automatically update and adjust to fix issues and optimize performance. It runs on approved tools, scoped identity, and a secured runtime. ### Does Runlayer have a skills and plugins registry? Yes. Runlayer Catalog is Runlayer’s governed skills and plugins registry, publish and distribute approved connectors, skills, and plugins to agents with ownership, dependencies, access, and usage signals. ### What threats does Runlayer look for? ToolGuard looks for tool poisoning, prompt injection, output manipulation, data exfiltration, privilege escalation, destructive actions, and resource abuse. AgentGuard monitors session-level behavior for manipulation and task drift. ### What does Shadow AI find? Shadow AI finds agents, AI clients, MCP servers, skills, and plugins used on managed devices, showing what is managed, shadow, outdated, or risky — deployed through existing MDM with no employee opt-in. ### What does Runlayer reduce or consolidate? Runlayer reduces one-off MCP setup, shadow AI usage, custom permission glue, manual review processes, fragmented audit trails, and separate enablement work for each team adopting agents. ## Customers - [Customers](https://www.runlayer.com/customers): Index of Runlayer customer stories. - [Gusto: How Gusto Ignited an AI-Driven Workflow Revolution Across 3,000+ Knowledge Workers With Runlayer](https://www.runlayer.com/customers/gusto): Gusto adopted Runlayer to wrangle decentralized AI experimentation through a unified command-and-control plane that securely connects tools, agents, and MCPs. - [Jane App: Jane App Moves 800+ Knowledge Workers From AI Experiments to Production Workflows With Runlayer](https://www.runlayer.com/customers/jane-app): Jane App adopted Runlayer as its AI command-and-control plane, driving AI adoption across the organization while unlocking 360-degree observability for every deployment. - [Homebase: Homebase Scaled Governed AI Workflows to 400+ Employees in Under 5 Months With Runlayer](https://www.runlayer.com/customers/homebase): Homebase implemented Runlayer to turn an environment of disparate MCP and agent experimentation into a governed, observable ecosystem that accelerated the path to AI transformation. ## Blog - [Blog](https://www.runlayer.com/blog): Runlayer blog index. - [Runlayer Agents: powerful, optimized, and secure by design](https://www.runlayer.com/blog/runlayer-agents): Enterprises shouldn't have to choose between shipping agents fast or knowing those agents are secure. Runlayer doesn't make you choose. Runlayer Agents are powerful, secure by design, and easy to use. - [Runlayer named an AI Security Endpoint Leader in Latio’s 2026 AI Security Market Report](https://www.runlayer.com/blog/runlayer-named-ai-security-endpoint-leader-in-latio-report): Runlayer is proud to be recognized as an AI Security Endpoint Leader in Latio's 2026 AI Security Market Report. Runlayer provides in-depth security and control of AI use on the endpoint, delivering the golden path to AI transformation. - [3 lessons from Fal.Con 2026 on securing AI agents](https://www.runlayer.com/blog/3-lessons-from-fal-con-2026): The Runlayer team spent the week at Fal.Con 2026 hearing how top security leaders are securing AI agents, and we're recapping the top takeaways here. Learn how to apply the security fundamentals to agents that move at machine speed. - [Runlayer agents are now in Slack, and secure by design](https://www.runlayer.com/blog/runlayer-agents-now-in-slack): Runlayer is a launch partner for "Add to Slack", bringing governed agents into the place employees get work done. With Runlayer, it's easier than ever for employees to build and run agents without compromising on security. - [Run Kimi K3 with Baseten Inference + Runlayer Agents](https://www.runlayer.com/blog/run-kimi-k3-with-baseten-inference-runlayer-agents): Runlayer agents can now run on open-source models served by Baseten, frontier-class performance, on inference you control. - [Join Runlayer at Black Hat 2026](https://www.runlayer.com/blog/runlayer-black-hat-2026): Meet the Runlayer team at Black Hat USA 2026 in Las Vegas, August 1–6. Book a private executive briefing at the Four Seasons or join us for Supercar Track Day at SpeedVegas on Wednesday, August 5. - [We Raised $30M to Help Companies Go All In on AI](https://www.runlayer.com/blog/series-A-30m-fundraise-felicis-khosla): We've raised a $30M Series A from Felicis and Khosla Ventures, bringing total funding to $42M, to build the golden path for AI: one platform that lets every team build agents without losing security and control. - [What are the Best Practices for AI Agent Audit Trails](https://www.runlayer.com/blog/ai-agent-audit-trails-dos-and-donts): When an agent makes the wrong call, your audit trail is the only record of what happened. Here's what most logs leave out and how to fix yours before an incident. - [Traditional API Observability versus MCP Observability](https://www.runlayer.com/blog/api-observability-vs-mcp-observability): APM tools assume deterministic systems. AI agents break that at the client. Here's why MCP traffic defeats traditional observability, and why the real gap is reconstructing intent from a trace. - [Breaking down the latest MCP Authorization SEPs](https://www.runlayer.com/blog/the-latest-MCP-Authorization-SEPs): MCP's new authorization hardening RC quietly landed six spec fixes that most people glossed over. We broke them down into three problem clusters: trust domain confusion, credential lifecycle management, and authorization boundaries. - [Runlayer and Anthropic MCP Tunnels: connecting Claude to systems behind your firewall](https://www.runlayer.com/blog/anthropic-mcp-tunnels): Runlayer and Anthropic collaborated on MCP Tunnels, which invert the connection direction so your network reaches out to Anthropic instead of exposing inbound ports, removing the security wall that blocks Claude from accessing internal systems like Jira, databases, and telemetry. - [Don’t build your own MCP gateway](https://www.runlayer.com/blog/mcp-gateway-build-vs-buy): Senior engineers look at an MCP gateway and see a reverse proxy with auth and logs. That instinct is wrong. MCP attack vectors shift constantly, performance breaks at scale in specific ways, and threat detection requires MCP-specific signals that generic tools miss. - …and 25 more at https://www.runlayer.com/blog (full list in https://www.runlayer.com/llms-full.txt). ## Optional - [Trust Center](https://trust.runlayer.com): Security, compliance, and trust documentation (SOC 2, HIPAA, GDPR). - [Documentation](https://docs.runlayer.com): Runlayer product and developer documentation. - [llms-full.txt](https://www.runlayer.com/llms-full.txt): Full-text version of this content for single-fetch ingestion. - [Legal](https://www.runlayer.com/legal) - [Privacy Policy](https://www.runlayer.com/legal/privacy-policy) - [Information Security Addendum](https://www.runlayer.com/legal/security-addendum) - [Master Services Agreement](https://www.runlayer.com/legal/msa) - [Data Processing Agreement](https://www.runlayer.com/legal/dpa) - [Online Trial Services Terms](https://www.runlayer.com/legal/trial-terms) _Last updated: 2026-09-23._