Multimodal AI is a critical player in the new wave of artificial intelligence. By combining different types of data like text, images, and audio, multimodal AI creates more intuitive and versatile AI systems that can more closely mimic human decision-making.

It’s no secret that artificial intelligence (AI) is revolutionizing the way companies operate with its ability to sift through mountains of data and make accurate predictions at record speed. But with great power comes great responsibility. As AI systems are more regularly incorporated into business, it’s critical that data sources are both accurate and secure to prevent error.

We're excited to announce the release of Kong Gateway 3.8, a significant update that marks a major milestone in the evolution of our API management platform. This release is packed with enhancements designed to boost performance, fortify security, and provide greater flexibility and ease of use for our customers.

The main fundamental question of every business today: Are you on the right side of AI? Many businesses and investors are facing the big question: will they get AI-fied and die slowly or will they be propelled by AI and grow faster? Kong API tools and the Konnect API platform will bring our customers on to the right side of AI. Every platform shift from mainframes onward has created demand for more APIs.

Understanding and monitoring the performance and health of applications and systems is critical. This is where observability comes into play. Observability is about gaining a comprehensive understanding of a system's internal state by analyzing the data it generates within the context of real-time events and actions across the infrastructure.

API Summit 2024 is underway! The seventh-annual Kong event kicked off today with 7 tracks and 60+ sessions from industry trailblazers. And, of course, the two-day event is packed with Kong-related news and product updates. Looking for a quick rundown of all the big Kong news? Here's a round-up of the Kong announcements dropped today.

What do developers really think about artificial intelligence (AI)? To many, AI is synonymous with innovation. While some noisy naysayers on the sidelines may cry the promise of generative AI (GenAI) is overhyped, the reality experienced by actual developers and leaders in the digital trenches working with GenAI and large language models (LLMs) tells a clear story: AI is a top priority in the enterprise today because it has already delivered real, tangible business benefits.

APIs enable our digital world. But they can also be a powerful source of revenue through the process of API monetization or API productization. A decade ago, many business workflows were conducted through manual tasks, logging into monolithic SaaS applications that were rolled out across entire business units or companies. Fast forward to 2024, and we find individual developers leveraging automation, AI, and APIs to tackle specific, targeted use cases.

Container technologies are always evolving — and we're not talking Tupperware here. Over the past years, service mesh has emerged as a crucial component for managing complex, distributed systems. As organizations increasingly adopt Kubernetes for orchestrating their containerized applications, understanding how to effectively implement and utilize a service mesh within this environment becomes paramount.

Artificial intelligence (AI) is kind of a big deal. And when things are a big deal, they're ripe to be exploited. Fortunately, mounting concerns about AI security and privacy are met by plenty of guidance on best practices from the good folks in the open source world. The OWASP AI Security Project has emerged as a crucial initiative, offering developers clear, actionable guidance on designing, creating, testing, and procuring secure and privacy-preserving AI systems.