Systems | Development | Analytics | API | Testing

We’re at it again, bringing more incremental improvements to Kong Mesh!

In case you missed it, we recently made a big announcement around beta GCP support for Kong’s Dedicated Cloud Gateways (DCGWs). There’s a lot of good stuff in there, but TL;DR DCGWs now support all three of the major cloud service providers (CSPs): AWS, Azure, and GCP at a 99.95% SLA with support for over 25 regions around the globe. Being the first API management vendor to support managed gateway deployments with all three CSPs has a lot of folks excited, for obvious reasons.

Enterprise adoption of large language models (LLMs) is surging. According to Gartner, more than 80% of enterprises will have deployed generative AI (GenAI) applications or used GenAI APIs by 2026, up from just 5% in 2023. That stark increase paints a telling picture: LLMs have evolved from a fringe technology to a cornerstone of business development and productivity. But as with any new technology, competition is fierce.

Managing Kafka as an island on its own got you this far. But scaling it securely and efficiently across your organization? That's another matter entirely. Apache Kafka is the number-one event streaming platform used by developers and data engineers worldwide to build reliable, scalable real-time data pipelines and event-driven applications.

We're continuing our efforts to make Kong Gateway Operator (KGO) the preferred way to install, upgrade, scale, and manage a Kong Gateway or Kubernetes Ingress — whether you’re managing from Kong Konnect or Kubernetes. With this latest release, we're: As ever, we’re continuously addressing issues raised by the community. You’ll find the complete list of improvements in the KGO changelog.

Today, we're excited to announce the general availability of AI Manager in Kong Konnect, the platform to manage all of your API, AI, and event connectivity across all modern digital applications and AI agents.

As businesses increasingly harness the power of artificial intelligence (AI) and large language models (LLMs), a new challenge emerges: managing the deluge of AI requests flooding systems. This exponential growth in AI traffic creates what could be considered a gratifying predicament—high demand for your AI services—but also introduces complex challenges that must be addressed for sustainable operations.

The world of artificial intelligence is undergoing a seismic shift, with the emergence of agentic AI redefining the landscape of API development and management. As businesses and developers navigate the complexities of digital transformation, understanding the implications of this groundbreaking technology becomes paramount.

This comprehensive guide will arm you with the knowledge and strategies needed to protect your LLMs from emerging threats. We’ll explore the OWASP LLM Top 10 vulnerabilities in detail and provide actionable approaches to mitigate these risks. Who should read this? By the end of this guide, you’ll have a robust framework for securing your LLMs and ensuring they remain assets rather than liabilities. Let’s dive into the world of LLM security with confidence and clarity.

Kong customers include some of the most forward-thinking, tech-savvy organizations in the world. And while we’re proud to help them innovate through traditional APIs, the reality is that their ambitions don’t stop there. Increasingly, our customers are investing heavily in real-time data and event streaming.