Read up on what’s new and what's next in Kong’s latest product releases.
Kong AI Gateway sees every model call your teams make, so it knows who spent what, on which model, shortly after each request. Your FinOps platform holds the invoices from your cloud and model providers and runs showback and chargeback for each business unit. Put the two together and each business…
TL;DR? Event Gateway 1.3 introduces the following: Have you ever watched somebody pump their own gas? Nobody's standing there with a clipboard. You swipe a card, pick a grade, and the pump takes it from there, because the pump has the rules built in: a pre-authorized amount, an automatic shutoff…
Agents are moving from demos into production, and the platform teams running them keep hitting the same four problems: spend nobody can attribute, credentials that security cannot manage, enterprise APIs rewrapped as agent tools team by team, and no single view of what an agent actually did. Today…
Every request returned 200 OK, the task still failed. This is the problem in one sentence. A single user intent now fans out into multiple model calls, tool invocations, MCP (Model Context Protocol) interactions, policy executions, retries, and agent handoffs. Each call can look healthy on its own…
TL;DR? You’ve been asked to make a slate of popular services like GitHub, Figma, or Salesforce available as MCP servers to agents inside your organization. Your employees expect to access these through their existing single-sign-on provided by your corporate identity provider. Your security team…
As enterprises put more AI applications and agents into production, managing the associated costs is becoming an increasingly important operational challenge. AI spending is distributed across multiple providers, models, applications, and teams, making it difficult to understand where costs…
AI agents are becoming increasingly capable, but their usefulness depends on what they can access. An agent that can reason through a customer support issue is of limited value if it can’t retrieve customer information, check an order status, or initiate a refund. Similarly, an IT operations agent…
TL;DR: Kong Insomnia 13.4 is all about giving you more visibility than ever before. Whether it's your git changes, your secrets, or how your users are using Insomnia, you’re able to see more than ever before and make better decisions than ever. We’ve gotten great feedback on the native git support…
Bots make up more than a third of internet traffic, and API endpoints attract more of it than web pages do. Scanners hunting for .env files, credential-stuffing scripts, LLM training crawlers, and the long tail of low-effort probes all hit your gateway before they ever reach a service. Every one of…
As of October 2026, Kong Gateway Enterprise 3.12 will enter its End Of Life (EOL) phase and will no longer be fully supported by Kong. Following this, Kong Gateway Enterprise 3.12 will enter a 12-month sunset support period, focused on helping customers upgrade to a current version of Kong Gateway…
AI infrastructure is changing fast. Enterprises are no longer building around a small set of models exposed through relatively consistent interfaces. New model architectures are emerging (Here’s looking at you Jev!). Providers are introducing new APIs and capabilities. Enterprises are running…
Trace complete AI sessions across models, tools, agents, and infrastructure — and understand where performance, cost, and failures accumulate. Traditional observability was built around requests. A request comes in. A service processes it. A response goes out. You trace what happened in between.…
AI models, agents, and MCP servers are showing up across every team, cloud, and gateway in the enterprise, with no central place platform teams can trust to know what exists. We're announcing the evolution of Kong Catalog (formerly Service Catalog), extending the discovery, documentation,…
New AI cost management capabilities help organizations price, attribute, plan, control, and optimize AI spend across models, applications, teams, and agents. AI is getting easier to build with. Paying for it is getting harder to manage. As organizations move from AI experiments to production…
AI agents are only as useful as the tools and information they can access. MCP has made connecting agents to those resources easier than ever. But as agents gain access to more of the enterprise, a new challenge emerges: how do you expand what an agent can access without overwhelming the model with…
Kong Identity can now securely broker downstream credentials for AI agents, giving them access to the systems they need without putting those credentials in the agents themselves. AI agents are getting access to more of the enterprise. An engineering agent might need GitHub and Jira. A support…