An enterprise infrastructure layer for the Model Context Protocol that provides authentication, RBAC, audit logging, and rate limiting for tool calls. It acts as a secure proxy between AI agents and MCP servers to ensure security and compliance in production environments.
Provides a secure gRPC transport layer for the Model Context Protocol (MCP) with mutual TLS, token-based authentication, and fine-grained authorization. Includes comprehensive telemetry and a real-time visualization dashboard for monitoring AI model interactions and security events.
A security proxy and active firewall for the Model Context Protocol that protects host systems from malicious intent, prompt injection, and data exfiltration. It acts as an interception layer between AI agents and tools, providing real-time verification and multi-layered defense mechanisms.
A feature-rich Model Context Protocol gateway that federates MCP and REST services, unifying discovery, authentication, and transport protocols while providing virtualization of legacy APIs as MCP-compliant tools.
A least-privilege enforcement proxy for MCP servers. It sits between MCP clients and upstream servers, enforcing tool policies, hiding denied tools, requiring human approval for risky actions, and providing a structured audit trail.
