Today we're excited to announce Kong Gateway 3.9! Since unveiling Kong Gateway 3.8 at API Summit 2024 just a few months ago, we’ve been busy making important updates and improvements to Kong Gateway. This release introduces new functionality around LLM support for AI governance and security and threat protection. Keep reading to learn more!

APIs facilitate effortless communication and data exchange between applications and services. However, their inherent design, which codifies service capabilities within the API definition, makes them easily exploitable by malicious actors. API attacks in the US alone are projected to cost $506 billion this decade — and are expected to surge 996% by 2030. And API-related breaches lead to more leaked data than the average security breach, according to Gartner.

Large Language Models, or LLMs, have become a near-ubiquitous technology in recent years. Promising the ability to generate human-like content with simple and direct prompts, LLMs have been integrated across a diverse array of systems, purposes, and functions, including content generation, image identification and curation, and even heuristics-based performance testing for APIs and other software components.

How technical and business data catalogs work together to make data legible and actionable for everyone.

In today’s fast-paced software development world, delivering high-quality software on time is paramount. Shift-left testing—the practice of moving testing activities earlier in the development cycle—has emerged as a cornerstone of modern development methodologies like Agile and DevOps. To implement shift-left testing effectively, test management tools play a critical role, enabling teams to manage, execute, and optimize testing processes efficiently.

In the fast-paced world of project management and software development, ensuring that all requirements are met and tracked can be a daunting challenge. The Requirements Traceability Matrix (RTM) plays a key role here. The RTM is a powerful tool that helps project teams track the relationships between requirements and various aspects of the project lifecycle.

It’s that time of year, again. Everyone’s been busy sharing their Best of 2024 for “this” or “that” list. A few weeks back it seemed the world was on Spotify Wrapped overload, taking pride in their top songs/artists. Now, I’ve got nothing against recaps, but for me, what’s more important than summing up the PAST year is what’s coming in the NEXT. Especially in the IT space.

In the world of data processing and messaging systems, terms like "queue" and "streaming" often pop up. While they might sound similar, they serve different purposes, and can significantly impact how your system handles data. Let’s break down the differences in a straightforward way.

APIs are the backbone of modern enterprise systems, but they also expose organizations to significant risks like data breaches and compliance failures. 85% of companies struggle to secure APIs, making robust API security essential. Here's a quick guide to protect your APIs effectively: Start by implementing basic safeguards like secure communication protocols, then move to advanced practices such as dynamic testing and centralized API management.