How to Build Secure AI Agents with Kong MCP Proxy

Modern AI applications require more than just sending prompts to language models; they necessitate a robust architecture to handle orchestration, security, and control when interacting with real business data and APIs. This is achieved through a layered architecture involving Volcano SDK, DataKit, and Kong MCP Proxy, which collectively ensure secure AI agent deployment. The Model Context Protocol (MCP) acts as a universal language, providing a standardized way to expose data and functionality, thereby enhancing security and auditability. Volcano SDK simplifies agent development by focusing on intent-based definitions and automatic context management, while DataKit handles data orchestration and API governance. Kong AI Gateway further secures interactions by acting as a proxy, enforcing authentication, authorization, rate limits, and observability, preventing unauthorized access and prompt injection attacks. This architecture enables quick, secure, and scalable AI deployments, allowing developers to build agents efficiently while maintaining strict control over data access and policy enforcement.