The 11 Best AI Gateways for Enterprise AI Security in 2026

AI gateways have become essential for organizations as they transition from pilot projects to more complex applications involving AI, such as agents accessing databases and acting on users' behalf. These gateways serve as a control layer between applications or agents and the AI services they call, centralizing functions like routing, policy enforcement, security, cost control, and observability. The guide compares eleven AI gateways, highlighting their varied niches, from security-first platforms like NeuralTrust TrustGate, which emphasizes a first-party Security Engine and covers LLM, MCP, and A2A traffic, to open-source infrastructure gateways like Solo.io and LiteLLM, which excel in routing and performance but rely on integrations for security. Portkey and Helicone focus on observability and developer experience, while broad platforms like TrueFoundry and MLflow integrate AI gateways within larger systems for model serving and lifecycle management. The choice of gateway depends on the primary problem an organization aims to solve—whether it's security enforcement, open infrastructure, observability, or a managed platform—and the level of MCP and A2A governance required.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.