Kong Agent Gateway is a new capability within Kong AI Gateway that extends our platform to more robustly cover agent-to-agent (A2A) communication. With this release, Kong AI Gateway now natively handles all three patterns of AI traffic in a product that is already being used by some of the largest…
[](/blog/product-releases/kong-agent-gateway)
Showback and chargeback are not the same thing. Most organizations conflate these two concepts, and that conflation delays action. Understanding the LLM showback vs chargeback difference is the first step toward effective AI cost governance. Both are valuable, and each has its place given certain…
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Traditional APIs are, in a word, predictable. You know what you're getting: AI APIs, especially anything that runs on LLMs under the hood, are a completely different story. These things are highly unpredictable by their very nature. You're dealing with token-based costs that swing wildly depending…
[](/blog/engineering/monetize-ai-apis)
The Shifting Economic Landscape: The AI token economy in 2026 is evolving, and enterprise leaders must distinguish between low-cost input tokens and high-premium output tokens to maintain profitability. Agentic AI Financial Risks: The transition to agentic AI and multi-step reasoning models creates…
[](/blog/enterprise/ai-input-vs-output-cost-management)
AI spending is exploding across the organization—but often not in the ways leadership approved or finance can track. Development teams spin up LLM connections to ship features faster. Data teams provision GPU clusters for experiments that get abandoned. Multiple teams solve the same problem three…
[](/blog/enterprise/ai-cost-management-stopping-margin-erosion)
MCP is an open standard that defines how AI clients communicate with remote servers. It provides a standardized protocol for clients like Claude, Cursor, or VS Code to access tools, resources, and capabilities from external systems. Currently, MCP servers can expose several types of capabilities to…
[](/blog/engineering/mcp-servers-guide)
The first pillar is enablement. Developers need tools that reduce friction when building AI-powered applications and agents. This means providing: The goal isn't to replace existing development workflows but to extend them. Developers should be able to build agents using familiar paradigms while…
[](/blog/enterprise/agentic-ai-developer-platform)
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…
[](/blog/product-releases/ai-gateway-3-13)
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…
[](/blog/engineering/ai-voice-agents-kong-ai-gateway-cerebras)Everyone's telling you to innovate faster with AI. Move quicker. Ship more features. Deploy more agents. But before we sprint headlong into the AI revolution, we need to have a proper dollars-and-cents conversation that most companies are avoiding. Disclaimer: Statistics cited in this post were…
[](/blog/enterprise/hidden-ai-fragmentation-tax)
Today, we're open-sourcing Volcano SDK, a TypeScript SDK for building AI agents that combines LLM reasoning with real-world actions through MCP tools. Why Volcano SDK? One reason: because 9 lines of code are faster to write and easier to manage than 100+ . Without Volcano SDK? You'd need 100+ lines…
[](/blog/product-releases/volcano)
The solution landscape is complicated by the fact that MCP is still finding its footing, and there are many various OSS projects and vendors that are rapidly shipping “MCP support” in an attempt to take advantage of the hype and attention around MCP. Unfortunately, many early attempts at solutions…
[](/blog/product-releases/enterprise-mcp-gateway)
The 2025 Gartner Magic Quadrant for API Management report was a great one for us here at Kong. We continue to move “up and to the right,” we remained in the “Leader” quadrant for the sixth year in a row, and we held our position as the “farthest right” on the “Completeness of vision”…
[](/blog/enterprise/gartner-magic-quadrant-apis-and-ai-success)
While building a GenAI-powered agent for one of our company websites, I integrated components like LLM APIs, embedding models, and a RAG (Retrieval-Augmented Generation) pipeline. The application was deployed using a Flask API backend and secured with API keys. However, post-deployment, several…
[](/blog/engineering/how-kong-ai-gateway-streamlined-my-genai-application)
It's natural to consider the necessity of guardrails for your sophisticated AI implementations. The truth is, much like any powerful technology, AI requires a set of protective measures to ensure its reliability and integrity. These guardrails aren't just a good idea; they are fundamental for…
[](/blog/engineering/ai-guardrails)
The OWASP Top 10 for LLM Applications 2025 represents a significant evolution in AI security guidance, reflecting the rapid maturation of enterprise AI deployments over the past year. The key updates include expanded focus on agentic AI systems with "excessive autonomy" risks, new attention to…
[](/blog/engineering/owasp-top-10-ai-and-llm-guide)