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By Alex Drag
Standing up a production agent means taking it through six stages: At API & AI Summit, we announced the evolution of Kong Konnect into the AI Connectivity Platform and announced a slate of launches built around that idea. Here's what we launched, where each piece fits, and what you can use today. An agent that only runs when a person prompts it isn't autonomous. Real autonomy starts when something happens in the world, like a payment failing or a ticket opening, and the agent responds.
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By Alex Drag
Traditional observability was built around requests. A request comes in. A service processes it. A response goes out. You trace what happened in between. That model works well for APIs. It breaks down for AI. With agents, a single user request can trigger multiple model calls. An agent might invoke a tool, call another agent, query an MCP server, retry a model, hit a guardrail, and call another tool before finally producing a response. And all of this happens non-determinstically.
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By Justin Davies
Today we're announcing Kong Operator 2.3. Building on 2.2's expansion into supporting Event Gateway and Dev Portal, this release significantly broadens our feature set. While 2.2 introduced foundational event-driven capabilities, 2.3 brings Kong **AI Gateway** fully into the Kubernetes-native fold, enabling teams to manage LLM routing and policies through familiar GitOps workflows. This update also rounds out Gateway API coverage with `TCPRoute`, `UDPRoute`, and `GRPCRoute`.
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By Cameron HayGlass
At Insomnia, we believe your tools should support you (and your agents!), not force you into certain ways of working. Over the last few months, we’ve been hard at work streamlining our interface so that it’s easier than ever for you to get started, stay organized, and work however you want with your APIs. There are two key concepts when a developer works with an API.
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By Kong
*Enterprise AI governance requires a composed stack connecting high-level risk and compliance oversight with real-time runtime enforcement. While oversight tools manage inventories, approvals, and evidence, AI gateways apply policy controls directly to live model, API, MCP, and agent traffic. Implementing both runtime controls and structured governance frameworks ensures comprehensive security, observability, and cost management across your entire AI estate.*
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By Amit Shah
*Kong API Gateway 3.16 is here: runtime log-level tuning, per-consumer plugin configs, credit/usage-based request blocking with the new Entitlement Enforcement plugin, and FIPS 140-3 compliance for regulated industries - all built for live production debugging and governance, no downtime or custom code required.*
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By Juliette Rizkallah
We're pulling back the curtain on a project we've been working on for some time now: the next evolution of the Kong brand. You may have noticed some changes recently to our site, swag, or socials. But today it's official: we're announcing Kong's rebrand and introducing our new mascot, Karl. Without further ado, let's dig in. Along the way, we'll give some insight into the "why" behind it all, while looking back at how things have changed since the early days of Kong. We were the API connectivity company.
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By Claudio Acquaviva
Kong AI Gateway already gives platform teams a central place to route, observe, and enforce policy across AI traffic. Security teams working alongside those platform teams often need another set of answers: Which agents are connected? Which attack paths actually succeed against them? What happened across the full session or tool chain? And if an agent is compromised, can its next action be stopped before it reaches an enterprise system? The integration is designed to be complementary.
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By Heather Halenbeck
Kong is named **a Leader** in *The Forrester Wave: API Management Software, Q3 2026*. APIs used to be about connecting systems to each other. Now they're also how AI agents connect to everything: tools, data, other agents. That shift changes what good API management looks like, and it's where we at Kong have shifted our focus. Forrester's take on where we land.
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By Greg Peranich
We said you'd see the evidence quickly.. Here it is. **Kong AI Gateway 2.0 is now generally available**, and it isn't arriving quietly.
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By Kong
Learn how to automatically switch between LLM providers when your primary provider becomes unavailable. In this AI Gateway Discovery video, we configure automatic failover using Kong AI Gateway’s Priority load balancing algorithm. You’ll learn how to assign models to priority groups and fall back to a backup group when all targets in the preferred group are unavailable. Follow along to set up automatic LLM failover and make your AI applications more resilient to provider outages.
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By Kong
Learn how Kong Konnect's new unified catalog brings APIs and services together into a single source of truth, helping organizations manage the full lifecycle of their API platform — from design to governance to consumption.
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By Kong
Kong's AI Gateway applies the same architectural pattern as the API Gateway — now governing LLM, MCP, and agent traffic at the infrastructure layer. Just as API gateways abstracted rate limiting, auth, and caching across microservices, AI gateways do the same for large language models and agents — with token budgets, semantic caching, and semantic routing replacing their REST equivalents. Kong breaks this into three layers: LLM Gateway, MCP Gateway for tool calls, and Agents Gateway for agent-to-agent traffic.#Shorts.
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By Kong
Most AI revenue will flow through tokens — and the two bottlenecks are tokens per watt (energy cost) and tokens per second (throughput). Tokens per watt determines how much output you can generate from a fixed energy supply — already constrained and getting tighter. Tokens per second sets the ceiling on how fast that revenue can flow. Kong's AI Gateway optimizes both at the connectivity layer: semantic caching and semantic routing increase token output without adding watts or latency.#Shorts.
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By Kong
LLMs are absorbing the business logic of microservices for agentic use cases — but both patterns will coexist in enterprise infrastructure for a long time. Cloud-native infrastructure (microservices + APIs) keeps powering web and mobile experiences. The agentic layer — LLMs, MCP tool calls, and context traffic — runs in parallel, activating the same APIs and CRUD operations underneath. Kong manages both swim lanes: the API traffic between clients and microservices, and the context traffic flowing between agents and LLMs.#Shorts.
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By Kong
CLI offers speed and developer freedom for API access; MCP provides centralized security, governance, and observability at enterprise scale. With CLI, credentials live on the developer's local machine and audit trails are shell-only — fast, but ungoverned. MCP adds authentication, centralized policy enforcement, and observability across all API calls, at the cost of some speed and higher token consumption. Kong's MCP Gateway is built for teams that need the governance trade-off without giving up too much velocity.#Shorts.
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By Kong
Software is going headless: the internet is shifting from GUIs built for humans to APIs, MCP servers, and CLIs built for machines and agents. Machines will consume the internet at a scale 1,000x greater than humans — more agents will exist than people, and programmatic access moves far more data than any click ever could. This transition requires API and AI infrastructure capable of moving terabytes at a scale never built before. Kong provides the connectivity layer for this machine internet — the infrastructure between agents, LLMs, and the services they consume.#Shorts.
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By Kong
The context graph — not the UI layer or system of record — is the true competitive IP of the AI era, and Kong built Context Mesh to help companies govern it. Without the right context layer, AI agents are generic and interchangeable regardless of which LLM is underneath. Companies that own and protect their context graph can differentiate their agentic workflows; those that don't are left with legacy CRUD backends that don't translate to agentic use cases. Context Mesh gives enterprises policy and governance over what agents can consume — the rulebook for all context flowing in and out.#Shorts.
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By Kong
Want to bill customers for the AI tokens they actually use? This video shows you how to set up a LangChain app that meters LLM token usage and streams it to Kong Konnect Metering & Billing as CloudEvents — turning every prompt and response into invoiced usage, automatically.
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By Kong
In this eBook, Kong Co-Founder and CTO Marco Palladino illustrates the differences between API gateways and service mesh - and when to use one or the other in a pragmatic and objective way.
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By Kong
In this eBook, Kong Co-Founder and CTO Marco Palladino breaks down how Kuma now supports every cloud vendor, every architecture and every platform together in a multi-mesh control plane. When deployed in a multi-zone deployment, Kuma abstracts away both the synchronization of the service mesh policies across multiple zones and the service connectivity (and service discovery) across those zones.
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By Kong
We live in an exciting time for software; we are witnessing a monumental shift in how applications are built. We have the opportunity to participate in the large-scale movement from centralized applications to decentralized, highly performant software architectures.
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By Kong
To better prepare for the future, it's important to get a solid understanding of this rising technology trend. In this e-book, we examine cloud native architecture, look back at the rise of cloud native app development, and explore the future of cloud native on the entire software ecosystem.
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By Kong
This eBook explains how microservices can facilitate the adoption of a multi-cloud strategy. Included are a holistic overview of the multi-cloud pattern including the benefits and drawbacks, strategies for adoption, and challenges to overcome if adopting the strategy without microservices.
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By Kong
This ebook explains the process for transitioning from a monolithic to a microservices-based architecture. Included are technical aspects and common mistakes to avoid.
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By Kong
Performance is a critical factor when choosing an API management solution. For businesses, the need to deliver low latency and high throughput is critical to ensuring that API transaction rates keep up with the speed of business. This white paper compares the performance of Kong and Apigee to understand performance in production environments.
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By Kong
This ebook explains how Kubernetes is modernizing the microservices architecture. Included are a deep dive into the history of Kubernetes and containers, the technical and organizational benefits of using Kubernetes for container orchestration, as well as considerations for adopting it.
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By Kong
This eBook compares a monolithic vs microservices architectural approach to application development. It dives into the benefits and challenges of microservices and helps you determine whether a transition to microservices would be right for your organization.
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By Kong
This ebook explains the role that the service mesh pattern plays in the leap towards de-centralized architectures. A novel re-packaging of the functionalities of traditional API gateways, service mesh represents the next stage in the natural evolution of microservices.
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Next-Generation API Platform for Modern Architectures. Connect all your microservices and APIs with the industry's most performant, scalable and flexible API platform. Empower your developers to build and optimize APIs. Leverage the latest microservice and container design patterns.
The Service Control Platform transcends API management to intelligently broker information across all your services. With Kong’s fast, flexible, and lightweight core, you control your entire service architecture – centralized or decentralized, microservices or monolith. Kong Service Control Platform transforms your static endpoints into a dynamic network of intelligent services.
Built for Modern Architectures:
- Connect Everything: Use plugins to extend and connect services across hybrid and multi-cloud environments, regardless of vendor.
- Accelerate Innovation: Use Kong's robust library of plugins to reduce redundant coding tasks across teams, technologies and geographies.
- Improve Governance: Analyze real-time data to ensure adherence to policies across teams, partners and individual endpoints.
- Automate End-to-end: Connect Kong with automation tools. Generate custom workflows to improve efficiency and reduce errors.
- Unlock New Ecosystems: Instantly leverage new ecosystems. Deploy Kong with Kubernetes, containers, and more out of the box.
- Increase Compliance: Limit access with role-based access control (RBAC). Encrypt end-to-end to comply with industry regulations.
Go Beyond the Gateway. Ready for the next-generation of API platforms?