Systems | Development | Analytics | API | Testing

Kong AI Gateway and the EU AI Act: Compliance Without the Rewrites

The EU AI Act is here, and for many enterprises, it represents a massive coordination challenge. As the world’s first comprehensive AI law, it mandates strict governance on transparency, risk management, and data quality. For platform engineers and architects, the immediate question is operational: How do we comply with these new regulations without forcing every developer to rewrite their applications?

How AI is Reshaping Test Management in Jira

If you’ve worked in QA long enough, you’ve seen how much testing has changed inside Jira. What started as a mix of spreadsheets, manual checklists, and endless review cycles has grown into fully integrated Test Management workflows. But even with automation, some challenges never went away. Writing test cases from requirements still takes time.

Ai Testing: A Complete Technical Guide To Intelligent Software Quality

Testing is a very important and necessary step in the SDLC, but most teams ignore it or don’t care much about it, while some teams spend most of their time on testing instead of building features. AI is really changing the way we write code, but most people use it mainly for writing test cases, and we still end up doing it manually. So in this blog, let’s see what AI testing is, how AI helps in testing our software, what AI tools are available, and which tools help with which part of testing.

Banking on Gen AI: Driving Profitable and Scalable Client Engagement with Gen AI Copilots

Wealth management has always been about personal touch. Relationship managers provide a white-glove service to elite clientele - guiding investments, financial plans, and more. However, they’re under growing pressure to serve more clients and drive bank revenue, without diluting that personal connection and service quality. This dual mandate is placing relationship managers in a catch-22 situation. If they serve more clients their ability to provide personalized services diminishes, and vice versa.

AI Voice Agents with Kong AI Gateway and Cerebras

The integration of next-generation AI workloads — from large language models (LLMs) to speech-to-text and text-to-speech — demands a powerful, secure, and scalable infrastructure. This is especially true for building advanced AI voice agents, which rely on seamless, natural, and highly efficient user interaction.

[Workshop 101] Build an Enterprise-Grade AI Platform with Kong AI Gateway

Join us for an in-depth session, "Build an Enterprise-Grade AI Platform with Kong AI Gateway," where we'll explore how organizations can securely operationalize AI at scale. Discover how Kong AI Gateway unifies APIs and AI services under one platform—enabling centralized governance, cost-efficient observability, and consistent policy enforcement across LLMs, embeddings, and AI workflows. Learn how to accelerate innovation while maintaining compliance and performance through capabilities like prompt introspection, semantic caching, and dynamic routing across private and public AI models.