Enable AI Adoption with Visibility and Control
Runlayer provides visibility and access control over every MCP connection, so teams can adopt AI tools without compromising security.
MCP is not Enterprise Ready
Your teams are already connecting to thousands of MCP servers outside your identity system. Traditional security approaches force you to choose between blocking innovation or accepting risk.
You can't see which MCP servers employees are connecting to, who's using them, or what data is being accessed. No visibility means no GRC.
Generic LLM guardrails are not designed for MCP-specific attack vectors like tool poisoning, rug pulls, and command injections.
Developers authenticate using personal API keys outside your identity system. No identity integration, no revocation, no role-based access controls.
Enable AI Safely at Scale
Runlayer brings zero trust security standards to
both local and remote MCPs.
Real-time threat detection models are built to catch MCP-specific attacks.
Context-aware authorization understands which AI client is making which request.
Complete visibility into every MCP action across your organization.
"MCP isn’t a distant vision, it’s today’s standard for AI tools. Runlayer lets us drive secure, team-wide AI innovation."
Covers threat detection, access control, audit requirements, and compliance frameworks.
Stop MCP Attacks
Before They Happen
Detect threats before they reach your systems, enforce context-aware access policies, review and approve new integrations, maintain complete audit trails for compliance, and catch MCP-specific attacks other tools miss.
Multi-tier detection system handles real-time threats without any noticeable performance impact.
Raw request / response logging for GRC and incident response.
Context-aware authorization based on user, device, client, server, and request attributes.
Review potential new MCP servers before deployment with security scan results and risk scores.
Prompt injection, command injection, tool poisoning, and tool shadowing vs. generic LLM guardrails.
Enterprise-Grade Security
Runlayer brings zero trust security standards to local and remote MCPs, and integrates with your existing security stack so you don't have to replace what's already working.
Built to Enable AI for Every Team
Build 3.4x faster.
Never leave your IDE again.
Enable AI with the access controls you already trust
Discover How You Can Launch AI Securely
Learn more about MCP best practices, how to use it securely, and see our threat detection in action, with real examples from enterprise customers, across 18,000+ MCP servers.
Frequently Asked Questions
All 300+ MCP clients including Cursor, VS Code, Claude Code, GitHub Copilot, ChatGPT, Claude Desktop, Windsurf, and any client that implements MCP.
No, we work with your existing IDE and AI client with the only difference being authentication through company SSO instead of personal API keys.
Request through the catalog: security-approved servers are available immediately with one click, while new servers go through fast-tracked approval in minutes instead of weeks.
Yes, with zero installation friction and the same governance/observability as remote servers, plus CLI tools to make local-to-hosted workflows seamless.
We integrate with Okta and Entra for identity, enforce the same conditional access and device compliance checks you use everywhere else, and provide complete audit trails, so AI becomes like another enterprise application, not a special case.
No, scans run with low latency and you get one-click access instead of manually configuring JSON files.
Yes, your development experience stays identical. you just get access to vetted, secure MCP servers instead of random GitHub repos.
Yes, we help convert internal APIs into MCP servers that appear in the catalog alongside external ones with identical access controls and observability.
Minimal disruption: we import existing configurations and your prompts/workflows remain the same, with most teams starting new servers through Runlayer then gradually migrating existing ones.
