Systems | Development | Analytics | API | Testing

AI FinOps: Moving Beyond Cost Visibility to Control, Optimization, and Value

AI FinOps must not be an afterthought but should be a critical and mandatory component for any enterprise AI program.. The explosive growth of AI workloads from simple AI-assisted coding to product autonomous multiagent systems complicated by highly dynamic usage-based pricing has introduced next level risk in tracking and managing spend. As the Gartner report points out, 85% of enterprises have no automated controls to stop cost spikes.

Kong Insomnia 13.4: See Like Never Before

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 we shipped in v13 a few months ago, and many teams have switched to a CLI way of working. But other teams love the Insomnia Git UI.

The Control Tower Reaches into the Runtime: Announcing the ServiceNow and Kong Partnership

Today ServiceNow launched the **ServiceNow Control Tower Alliance**, and Kong is proud to be a founding member to help enterprises put AI to work safely, at scale. It's a milestone for Kong, and we think it's an important moment for the industry. Here's what the alliance is, why it matters, and why we believe every AI control tower needs a runtime. Enterprise AI has moved from pilots to production faster than most governance programs could keep up.

Kong Context Mesh

Kong Context Mesh composes APIs, data, and documents into a single MCP interface that AI agents can call directly, with no custom harness or extra instructions. Built on Kong Konnect, it supports different authentication strategies and data structures, and avoids context window bloat through progressive disclosure and on-the-fly execution. Agents discover tools just in time and retrieve only the context needed for the task. The demo connects internal APIs and external MCP servers, then uses Claude Code to complete a multi-source task.

Why API Security Is Foundational to AI Security (Akamai Study)

Secure AI starts with securing the APIs underneath it. This session breaks down why APIs and MCPs are the control plane for AI apps and agents, where unmanaged API risk hides, and how security and platform teams can improve visibility, posture, runtime protection, and governance across production environments. KEY TAKEAWAYS TIMESTAMPS.

API + AI Summit 2026 Recap: Helping the World Move AI

That's a wrap on API + AI Summit 2026, Kong's biggest in-person event yet. The event brought together more than 1,000 engineers, architects, and leaders in Los Angeles to discuss running AI systems in production, tackle shared architecture challenges, and swap real-world insights. Recordings from this year’s event will be available in the coming weeks..

How to Manage and Secure AI Coding Agents

AI coding tool spend is projected to top $13 billion in 2026, compounding at more than 60% a year. These agents don't just autocomplete a line of code anymore. They plan. They act. They call tools, run commands, and touch other systems on your behalf. This is pretty different from the assistant that used to live in your IDE sidebar. And that's exactly where the risk lives. An AI coding agent is software that writes, tests, and ships code independently. This level of autonomy earlier tools never had.

Introducing Kong Bot Detector: Native API Bot Detection for Dedicated Cloud Gateways

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 those requests costs you — in upstream load, in noise across your analytics, and in the bill.

Agentic AI Governance: The Complete Guide to Frameworks and Controls

Agentic AI governance is the structured management of the authority an organization hands to autonomous AI systems that plan and take action on its behalf. It covers what an AI agent is allowed to do, which systems it can touch, and how those permissions are monitored, limited, and revoked using robust autonomous AI governance controls.

How to Automatically Fail Over Between LLM Providers | Kong AI Gateway

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.