A security-hardened MCP gateway that enables AI agents to call LLM APIs (Gemini, OpenAI, Claude, etc.) using ephemeral proxy tokens, eliminating exposure of real API keys.
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.
A production-style MCP gateway that aggregates multiple tool servers into one surface with semantic tool search, RBAC, audit logging, and rate limiting, enabling efficient tool selection for AI agents.
Governed MCP gateway that lets AI agents call tools with policy enforcement, prompt-injection screening, a kill-switch, and tamper-evident signed audit logs.
A zero-trust gateway for securely brokering interactions between AI models and internal tools via the Model Context Protocol, with DLP, prompt injection defense, and LLM-as-a-Judge.
A security gateway that enforces policies, tracks data taints, and sandboxes tool calls between AI agents and MCP servers. It provides a secure chokepoint to prevent prompt injection and ensure OWASP ASI compliance through audit logging and deterministic execution.