Systems | Development | Analytics | API | Testing

Join our 201-level session, "Beyond the Gateway: Governing Secure and Observable AI Agents," to move from managing simple AI calls to governing autonomous systems. Building on 101's foundation, this workshop provides the advanced blueprint to secure agent connections with granular, identity-aware policies and robust tool-use governance, ensuring you control what agents can access and which actions they can perform. We'll also dive into how to observe these autonomous interactions, using real-time behavior tracing and cost analysis to maintain performance and compliance.

This major release is faster, smarter, and packed with powerful AI and collaboration features, all designed to help developers build, test, and work together more efficiently. In this video, we’ll walk you through the biggest updates.

Join us for an in-depth session, "Build an Enterprise-Grade AI Platform with Kong AI Gateway," where we'll explore how organizations can securely operationalize AI at scale. Discover how Kong AI Gateway unifies APIs and AI services under one platform—enabling centralized governance, cost-efficient observability, and consistent policy enforcement across LLMs, embeddings, and AI workflows. Learn how to accelerate innovation while maintaining compliance and performance through capabilities like prompt introspection, semantic caching, and dynamic routing across private and public AI models.

Agents are just applications with an intelligence layer. This session shows why secure, reliable, discoverable APIs—and a developer platform—are the foundation for AI-native workflows. See live demos of Kong Konnect, AI Gateway, Event Gateway, MCP-enabled dev portals, AI Composer/Runner, and Kai. What you’ll learn: Learn more: Subscribe for more on API platforms, service connectivity, and AI-native architecture.

Kong AI Gateway 3.12 brings native MCP governance, security, and observability to agentic AI—plus on-the-fly REST-to-MCP autogeneration and the open-source Volcano SDK for building MCP-powered agents. What you’ll learn.

Go inside the incredible origin story of Kong with CEO and Co-founder Augusto Marietti. In this recent interview with Martin Casado, General Partner at Andreessen Horowitz (a16z), Augusto shares the pivotal moments and challenges that defined Kong's early days.

This hands-on Developer Day builds on the first two workshops (Platform setup and APIOps automation) to deliver a complete developer experience. You’ll stand up a Kong Konnect Developer Portal with self-registration and application onboarding, wire the portal to an OIDC identity provider for SSO and token issuance, and publish APIs and docs from your APIOps pipeline. In parallel, you’ll configure Konnect Analytics to capture metrics and usage data from your Kong gateways and services.

APIs are the nervous system of AI. In this API Summit 2025 keynote, Kong outlines the AI connectivity layer: unifying API and LLM traffic, adopting agent protocols like MCP, introducing an AI gateway pattern, and enabling usage-based monetization with realtime metering and billing in Konnect. Key takeaways: Learn more: Subscribe for more on API and AI connectivity. Explore Kong Konnect to standardize governance, scale LLM/agent traffic, and monetize usage.

Have you ever wondered how developers can add features like security and traffic control to their apps without spending weeks coding? Kong's API gateway plugins are the answer. Think of your app as a secure office building, your API as the lobby, and Kong Gateway as the head of security you've hired to manage it. Plugins are the security team and tools—like a guard managing traffic flow or a system to scan employee badges—that protect your "lobby.".

Ever wondered how AI agents and Large Language Models (LLMs) connect to real-world data and services? It’s not magic—it’s a well-structured process. This video breaks down the five most common misunderstandings about how LLMs call APIs, databases, and other custom tools. We explain the crucial role of the Model Context Protocol (MCP) in creating reliable and powerful AI agents. In this video, we'll cover.