A transparent proxy and execution firewall that intercepts and audits AI agent tool calls against configurable security policies before forwarding them to downstream MCP servers. It provides safe execution environments with features like data redaction, anti-loop protection, and unified alert dispatching.
A defensive gateway and firewall for AI agents using MCP servers, scanning tool calls, responses, and manifests for prompt injection, secrets, dangerous commands, and drift before allowing execution.
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 cryptographic sidecar proxy that tests MCP tools for OWASP vulnerabilities before deployment. Automatically sandbox and audit your AI agents' tool calls to ensure secure infrastructure.
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.
