Kong Agent Gateway Is Here — And It Completes the AI Data Path
Blog post from Kong
Kong Agent Gateway introduces a comprehensive solution for managing complex AI data paths, addressing the challenges posed by agent-to-agent (A2A) communication, which is increasingly prevalent in modern agentic architectures. As part of Kong AI Gateway's 3.14 release, it extends governance capabilities across large language models (LLMs), Model Context Protocol (MCP) servers, and A2A interactions, providing a unified governance layer for APIs, events, LLM calls, and tool access. This innovation is critical as enterprises adopt agentic AI, where agents autonomously call tools, delegate tasks, and consume event streams with minimal human oversight, often leading to governance and security challenges. Kong Agent Gateway offers features like agent identity verification, real-time traffic inspection, cost allocation by agent, and full audit logging to prevent security pitfalls and maintain scalable and secure AI operations. As enterprises face the complexities of integrating agentic AI into their workflows, Kong's platform, part of the larger Kong Konnect suite, provides the necessary infrastructure to manage and secure these multi-agent systems effectively, ensuring compliance and optimized resource usage.