The latest news and announcements about Kong, our products, and our ecosystem, as well as voices from across our community.
Digital agreements are at the heart of many critical business processes. As companies modernize their technology stacks and adopt API-driven architectures, integrating agreement workflows directly into applications has become increasingly important. By combining the capabilities of Kong Konnect…
[](/blog/engineering/automating-agreement-workflows-kong-konnect-and-docusign-for-developers)
When enterprises started experimenting with LLMs, the governance challenge — while still difficult — was relatively contained once you had an AI Gateway for LLM traffic. You had a request going to a model, a response coming back, and a gateway in between to enforce policy. With the right solutions,…
[](/blog/product-releases/kong-agent-gateway)
Every enterprise moving AI into production is about to face a familiar problem in an unfamiliar form: the cost explosion, but for LLMs. This is very similar to what happened with cloud. In the early days of cloud, teams spun up infrastructure with no visibility into who was consuming what. Finance…
[](/blog/enterprise/llm-cost-management-ai-showback-and-chargeback)
As enterprises race to deploy multicloud architectures and Agentic AI, they face a common bottleneck: "state." To govern AI token usage, manage agent-to-agent communication, or optimize performance via caching, API and AI gateways require a persistence layer to synchronize data. We’re excited to…
[](/blog/product-releases/multicloud-cloud-gateways-managed-redis-cache)
A persistent challenge arises as businesses adopt multicloud architectures and agentic AI: the need for state synchronization. API and AI gateways require a robust persistence layer to synchronize data, whether it's for governing AI token usage, facilitating agent-to-agent communication, or…
[](/blog/engineering/dedicated-cloud-gateways-managed-redis-multi-cloud)
As enterprises start deploying AI agents into real systems, a new architectural challenge is emerging. Agents need a reliable way to discover tools, services, and capabilities dynamically, instead of relying on hardcoded integrations. This is where the Model Context Protocol (MCP) ecosystem is…
[](/blog/engineering/mcp-registry-dynamic-tool-discovery)
In the burgeoning intelligence economy, AI tokens are a metered utility, but enterprise profitability now hinges on a critical distinction: output tokens can cost up to 10x more than inputs, creating a new, invisible risk for cost overruns, particularly with Agentic AI. Learn how Kong AI Gateway…
[](/blog/enterprise/ai-input-vs-output-cost-management)
The recent article on OpenAI overhauling its payment systems to reduce its dependency on Stripe highlights an important tension many digital platform builders face today: how to balance usage-based monetization with the realities of payments infrastructure dependency. At Kong, we see this as a…
[](/blog/enterprise/multi-rail-billing-payment-provider-lockin)
Last week, Gartner published a report titled MCP Servers Will Fuel the Next AI Revenue Surge — Context as a Service (1) that should be required reading for every enterprise technology leader. Then, Kong CEO Augusto Marietti (Aghi for short) wrote out his thoughts on the subject and why context is…
[](/blog/enterprise/the-platform-enterprises-need-to-compete)
Kong Operator 2.1 is a significant update for our customers, opening up integration into the Kong ecosystem for our Kubernetes customers. With Kong Ingress Controller, when your Control Plane was hosted in Kong Konnect, and you were using Kubernetes Gateway API, your dataplane, routes, and services…
[](/blog/product-releases/kong-operator-2-1)
In today's digital landscape, APIs are the backbone of modern applications, and AI is the engine of innovation. As organizations increasingly rely on microservices and AI-powered features, the API gateway has become the critical control point for managing traffic. But as LLM/GenAI and MCP requests…
[](/blog/engineering/prisma-airs-kong-ai-gateway)
APIs and integrations are the foundation of the modern enterprise. Every organization needs to securely connect systems, move data, and automate workflows, all while maintaining control, visibility, and flexibility. Increasingly, those same APIs are also being consumed by AI-powered applications…
[](/blog/engineering/kong-and-polyapi)
In the rapidly evolving landscape of AI-driven development, the Model Context Protocol (MCP) has emerged as the critical standard for connecting AI applications to the data and tools they need. We are excited to announce the Technical Preview (TP) of Kong MCP Registry , a major milestone in our…
[](/blog/product-releases/kong-mcp-registry-tech-preview)
See how easily Konnect Metering & Billing transforms API and AI traffic management into new revenue streams. We've talked about why 2026 is the year of AI unit economics . There, we explored the "2025 hangover" where organizations realized that without financial governance, AI isn't just a science…
[](/blog/product-releases/konnect-metering-and-billing-demo)
KAi, the AI assistant inside Kong Konnect, just got significantly more capable. Today, we're announcing an enhanced beta version powered by the new Kong Konnect MCP Server — a shared infrastructure layer that also opens up your API platform to IDE copilots and custom agents . The result? KAi can…
[](/blog/product-releases/kai-upgrade-powered-by-konnect-mcp-server)
If your 2026 resolution is to finally get AI costs under control , we've got you covered. 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…
[](/blog/product-releases/ai-cost-control)