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 protected Model Context Protocol server that gives AI agents distinct machine identities, enforces least-privilege OAuth permissions, applies contextual authorization policies, and pauses sensitive actions for human approval.
A secure MCP gateway for enterprise AI tool execution, enabling governed invocation of business tools with authentication, RBAC, audit logging, PII redaction, and async processing.
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.
Enables secure enterprise AI agents to access internal tools like GitHub, Gmail, Calendar, file systems, databases, and knowledge bases through the Model Context Protocol, with built-in security, audit, and observability.
