Runlayer vs. Webrix: Enterprise MCP Platform vs. MCP Gateway

Runlayer is a full enterprise MCP platform: security scanning, shadow MCP detection, Skills, Plugins, and Agents across 18,000+ servers and 300+ AI clients. Webrix is an MCP gateway with SSO, RBAC, and 100+ pre-built connectors, focused on access control for mid-to-large enterprises. The core difference is scope. Webrix governs MCP traffic that routes through its gateway. Runlayer governs all MCP activity across an organization, including connections that bypass the gateway entirely, and extends into agent deployment, Skills creation, and plugin distribution. Webrix is an access layer. Runlayer is the platform underneath it. ## What Webrix Does Well Webrix provides a secure MCP gateway built for IT-led AI adoption. It supports SSO (Okta, Entra, JumpCloud), RBAC with SCIM provisioning, audit logging, and deployment across SaaS, dedicated cloud, and on-premise (including air-gapped) environments via Helm charts. Its strongest feature is API-to-MCP conversion: any REST API can be turned into a governed MCP endpoint in minutes. This is useful for organizations that need to expose internal services to AI agents without building custom MCP servers. Webrix also supports machine users (service accounts for CI/CD pipelines) and IT approval workflows with sandboxed testing before production rollout. Webrix names Wix.com (5,000+ employees) as its primary customer reference and targets organizations in the 500 to 5,000+ employee range. ## What Runlayer Is Runlayer is one platform to run MCPs, Skills, and Agents. Four products cover the full enterprise MCP lifecycle. **Runlayer Platform** is the enterprise command and control plane. It includes 18,000+ MCP servers in the catalog (each scanned before approval), 200+ pre-built connectors, a Skills and Plugins registry for non-engineers to create reusable AI capabilities without code, and an Agents Factory for building, deploying, and governing autonomous agents with managed identities. **Runlayer Watch** discovers every unauthorized MCP server, OpenClaw install, and Skill running across an organization's devices. No other MCP platform offers this. **Runlayer Guard** runs proprietary non-LLM threat detection models with 99% ROC-AUC, 95.6% accuracy, and 50-100ms inference latency. **Runlayer Embed** is a headless API for embedding the Runlayer catalog into any surface. Runlayer's named customers include Gusto (3,000+ knowledge workers, 0 to 1,500 daily AI users in 90 days), Jane App (100% org-wide adoption in 2 weeks), Instacart, Opendoor, dbt Labs, and Homebase. David Soria Parra, co-creator of MCP at Anthropic, is an investor and technical advisor. Travis McPeak, Head of Security at Cursor, is an investor. Runlayer raised $11M from Khosla Ventures and Felicis. ## Runlayer vs. Webrix: Shadow MCP Detection This is the widest gap between the two platforms. Developers download MCP servers from GitHub, npm, and community registries. They configure them locally without IT involvement. These shadow MCPs connect AI clients to production systems, databases, and APIs with zero governance. The organization has no visibility into what tools are active, what data flows through them, or whether they've been compromised. Runlayer Watch deploys through existing MDM tools (Rippling, Jamf, Intune, Kandji). It scans devices for MCP server configurations across all AI clients. Two modes: **Detect** (discover and report) and **Enforce** (block unauthorized servers, redirect to the approved catalog). Gusto discovered 800 shadow MCP servers on day one of deploying Watch. Jane App enforces a zero-tolerance shadow MCP policy: no connectors are allowed outside of Runlayer. Webrix, like all MCP gateways, only governs traffic that routes through its gateway. If a developer configures a local MCP server that connects directly to a production API, Webrix never sees it. Watch operates at the endpoint level, so it catches everything regardless of how it was configured. ## Runlayer vs. Webrix: Security and Threat Detection Webrix provides governance-layer security: SSO, RBAC, audit trails, guardrails on inputs and outputs, rate limits, and SOC 2 alignment. These are access control primitives. They answer the question "who is allowed to use what." Runlayer Guard answers a different question: "is the tool itself safe, and is the agent behaving as intended." Guard includes proprietary non-LLM models purpose-built for MCP attack vectors. The IO Guard Model achieves 99% ROC-AUC and 95.6% accuracy with an 80% reduction in false positive blocks. It detects tool poisoning, tool shadowing, data exfiltration, PII leakage, hidden character injection, prompt injection, command injection, and rug pulls at 50-100ms inference latency. Guard also includes patented semantic alignment detection (US Provisional 63/984,897). This catches when an AI agent's tool calls drift outside the user's stated intent, even when individual calls look benign. An agent asked to "summarize Q4 revenue" that starts making write calls to an external webhook will pass keyword filters but fail semantic alignment checks. No other MCP platform has this capability. Webrix's security section mentions policy guardrails and third-party integrations. It does not describe MCP-specific threat detection models or tool-level exploit analysis. ## Runlayer vs. Webrix: Catalog and Discovery Runlayer's catalog includes 18,000+ MCP servers and 200+ pre-built connectors. Each server is scanned for vulnerabilities, data leaks, and permission drift before approval. New releases are automatically analyzed. The catalog is the Golden Path: developers install in one click, no JSON config, no procurement delays. Security approves once and engineering ships immediately. Webrix offers 100+ pre-built connectors with the ability to convert any REST API into a governed MCP. The API-to-MCP feature is practical for internal services. But 100+ connectors does not replace continuous scanning of the 18,000+ server ecosystem. Approximately 10% of MCP servers in the wild are malicious (Runlayer internal scanning data). The rest have exploitable vulnerabilities. A curated catalog of hundreds doesn't cover the long tail where risk concentrates. ## Runlayer vs. Webrix: Skills, Plugins, and Agents This is where the "gateway vs. platform" distinction becomes concrete. Webrix does not offer Skills, Plugins, or native agent deployment. It connects AI agents (built elsewhere) to internal tools through its gateway. That's a useful function. It's also one layer of a multi-layer stack. Runlayer lets organizations build Skills (markdown-based instruction files that non-engineers create without code), bundle Skills and connectors into Plugins for distribution across the org, and deploy Agents with managed identities, semantic alignment detection, scheduling, and webhook triggers. At Jane App, non-engineers created 15+ Skills without writing code. The marketing team automated SEO workflows across Notion, Google Search Console, and Ahrefs. At Gusto, knowledge workers across all functions (not just engineering) build AI-driven workflows. Mike Wittig, Gusto's CIO: "Runlayer enables us to conversationally interact with every single SaaS platform that represents all the work that we do in one place." Every agent gets an Agent Account with On-Behalf-Of (OBO) token exchange. Agents authenticate through the same IdP as human users (Okta, Entra, Google Workspace). Per-agent PBAC policies auto-sync when connectors are linked or unlinked. The Agents Registry provides org-wide discovery and governance of every deployed agent. No competitor, including Webrix, offers the combination of agent identity (OBO), agent governance (registry + PBAC), and semantic alignment detection in one platform. ## Runlayer vs. Webrix: Feature Comparison Runlayer vs. Webrix: Feature Comparison Feature Runlayer Webrix MCP Server Catalog 18,000+ servers, continuously scanned 100+ pre-built connectors Pre-built Connectors 200+ 100+ Shadow MCP Detection Watch: endpoint scanning via MDM (Rippling, Jamf, Intune, Kandji) Not supported Threat Detection Guard: 99% ROC-AUC, 95.6% accuracy, 50-100ms latency Policy guardrails and rate limits Semantic Alignment Detection Patented (US Provisional 63/984,897) Not supported Skills and Plugins Registry with GitHub sync, no-code creation Not supported Native Agent Deployment Agents Factory with managed identities (OBO) Not supported Machine Users Agent Accounts with PBAC Service accounts for CI/CD API-to-MCP Conversion Not supported Supported IT Approval Workflows Connector approval via Slack workflows CISO approval with sandboxed testing Identity Providers Okta, Entra, Google Workspace (via WorkOS) Okta, Entra, JumpCloud Deployment VPC (single-tenant), cloud, Terraform/Helm SaaS, dedicated cloud, on-prem, air-gapped Compliance SOC 2 Type II, GDPR, HIPAA SOC 2 Named Customers Gusto, Jane App, Instacart, Opendoor, dbt Labs, Homebase Wix.com ## When to Use Webrix Webrix is a solid choice for organizations that need a centralized gateway for connecting AI agents to internal tools with SSO and RBAC, and where the primary requirement is access governance rather than threat detection or agent deployment. Specifically, Webrix is a good fit when your internal APIs need to be exposed as MCP endpoints (API-to-MCP conversion), you need air-gapped on-premise deployment, your security requirements are met by access controls and audit trails without MCP-specific threat detection, and you don't need shadow MCP discovery, Skills, Plugins, or native agent deployment. ## When to Use Runlayer Runlayer is the right choice when you need the full stack: MCP governance, shadow MCP detection, active threat detection at the tool-call level, and the ability to build and deploy Skills, Plugins, and Agents natively. Gusto went from 0 to 1,500 daily AI users in 90 days and discovered 800 shadow MCP servers on day one with Watch. Jane App reached 100% org-wide adoption in 2 weeks with a zero-tolerance shadow MCP policy. These deployments required more than a gateway. They required a platform that covers security, discovery, governance, and enablement in one product. If your organization is deploying MCP across hundreds or thousands of knowledge workers, not just engineering, Runlayer is designed for that scale. ‍