Runlayer offers a secure platform designed to connect AI tools to enterprise environments, focusing on threat detection and managing access permissions. The service addresses the risks associated with using AI tools like ChatGPT, Claude, and VSCode, which can inadvertently expose sensitive data. The statistics claim that 10% of machine learning components (MCPs), skills, and agents are malicious, while the rest are potentially exploitable. Runlayer aims to mitigate these risks by providing a centralized, secure registry for hosting and approving these resources, ensuring that only trusted tools are used within an organization. The platform emphasizes ease of deployment and visibility. Users can integrate new MCPs and agents with just one click, streamlining the process without sacrificing security. Runlayer implements zero trust security standards, with automatic vulnerability scans and multi-tier security detectors in place to catch issues before they affect users. Fine-grained permissions and built-in features like SSO and SCIM help maintain control over user access and actions. This structure allows organizations to manage all their AI tools from a single interface, fostering collaboration while keeping security tight. Runlayer also claims to seamlessly integrate with existing development environments, ensuring minimal disruption during implementation. Organizations can adapt their current tools into custom MCP servers and skills, making them easily shareable across teams. The service supports integration with major identity providers to enforce consistent security protocols, providing complete audit trails for compliance. This setup aims to transform the way businesses leverage AI, making it a routine part of their operations rather than a specialized case.