In one of our posts, Kong AI/MCP Gateway and Kong MCP Server technical breakdown, we described the new capabilities added to Kong AI Gateway to support MCP (Model Context Protocol). The post focused exclusively on consuming MCP server and MCP tools through Kong MCP Gateway. Now, it's time to check…
Every January, the same resolutions show up: eat better, exercise more, finally learn that language, finally figure out that production use case for AI agents (OK, this one isn’t so typical unless you operate in our universe). But if you're responsible for your organization's AI strategy, we'd like…
API endpoints are like the doors to a web service. Through these endpoints, we can enter and talk to a web service and be shown where and how we can gain access to whatever it is the server has. This process allows separate pieces of software to swap information in a controlled way. Understanding…
AI governance establishes the principles, roles, processes, and controls for responsible AI deployment. It transforms abstract ethics into concrete practices. Think of AI governance as a rulebook for how to use AI in a secure, ethical, observable, moderated, and auditable fashion. It’s a…
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APIs have quietly powered the global shift to an interconnected economy. They’ve served as the data exchange highways behind the seamless experiences we now take for granted — booking a ride, paying a vendor, sending a message, syncing financial records, or stitching together SaaS tools into a…
In the latest Kong Gateway 3.12 release , announced October 2025, specific MCP capabilities have been released: The Kong AI Gateway sits in between the AI applications we build and the MCP Servers and GenAI models we consume. In fact, the Kong MCP Gateway sits side-by-side with the Kong LLM…
Kong Gateway is an API gateway and a core component of the Kong Konnect platform . Built on a plugin-based extensibility model, it centralizes essential functions such as proxying, routing, load balancing, and health checking, efficiently managing both microservices and traditional API traffic. An…
With major advances in building the AI connectivity layer and soaring enterprise adoption of agentic systems, this year sparked a hockey-stick surge in demand for the infrastructure that powers intelligent agents. Below is a rundown on the updates, the innovations, and the moments that moved the…
A decade ago, we set out to connect the world through APIs, which we saw as fundamental building blocks of software. Before Kong, we founded Mashape as the first API marketplace to provide an assembly line for developers building apps, and then we open-sourced its core API runtime, Kong, the…
InfoWorld’s annual awards recognize the most innovative software development, DevOps, cloud, data management, and AI/ML products on the information technology landscape. We are extremely proud to see Kong Konnect recognized for its role in unifying API and AI connectivity for stronger governance,…
The challenges of an acquisition frequently appear in a number of critical areas, especially when dealing with a platform as important as Kafka: Many organizations consider maintaining direct integration with their Kafka provider. However, compared to a direct coupling approach, an abstraction…
Companies are charging headfirst into AI, with research around agentic AI in the enterprise finding as many as 9 out of 10 organizations are actively working to adopt AI agents. LLMs are being deployed, agentic workflows are getting created left and right, and the promises of what this technology…
Apache Kafka is a distributed, fault-tolerant, high-throughput event-streaming platform. LinkedIn originally developed it to handle massive data pipelines. The Apache Software Foundation now maintains this open-source project. Kafka implements a distributed commit log at its core. Think of an…
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We know that successful AI connectivity programs often start with an intense focus on how you govern and protect LLM and MCP traffic. This is why Kong was first to market with an enterprise-grade AI gateway , and it’s why, in our last release, we added enterprise MCP proxy support to our…
The Requirement : Article 10 of the EU AI Act mandates strict data governance for high-risk AI systems. This includes error detection, bias monitoring, and arguably most critically for enterprise use — ensuring that sensitive personal data (PII) is not improperly processed or leaked into public…
A close examination of what really powers the AI prompt unveils two technologies: the large language models (LLMs) that empower agents with intelligence and the ecosystem of MCP tools to deliver capabilities to the agents. While LLMs make your agents smart, it would be hard to provide agents with…
The Gateway Evolution An unoptimized AI inference endpoint can burn through thousands of dollars in minutes. This isn't hyperbole. It's the new reality of artificial intelligence operations. When GPT-4 processes thousands of tokens per request, traditional infrastructure crumbles. The demands are…
Secure your AI infrastructure with prompt guards, PII sanitization, and centralized governance. Control LLM costs with token-based rate limiting and semantic routing across providers.