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Streamline API testing with Proxy Mock! Capture, mock, and replay API calls locally

Alan Mon introduces Proxy Mock, a powerful tool for capturing and replaying API calls. Learn how to effortlessly record inbound and outbound API requests and responses. The demonstration highlights how Proxy Mock operates entirely on your local machine, eliminating the need for cloud services or internet connectivity for testing. See how to set up Proxy Mock, inspect captured API calls (including request/response headers, body, and unique signatures), and leverage it to mock API responses for seamless local testing, ultimately boosting productivity and reducing the need for costly non-production environments.

Beyond the Buzz: Predicting the Next Five Years of Data AI Gateways

Data AI Gateways are reshaping how businesses manage APIs by automating key processes like creation, security, and scaling. These platforms simplify API operations, reduce costs, and improve efficiency, making them essential for enterprises navigating AI adoption. Here's what you need to know: What They Do: Automatically generate APIs, enforce security (e.g., RBAC), and integrate multiple databases. Why They Matter: Tackle challenges like siloed systems, scaling, and AI governance.

How to Securely Use LLMs with Your Data | DreamFactory AI Gateway

How can I securely connect an LLM to my database?! Get ready to unlock the full power of AI with DreamFactory’s upcoming AI Data Gateway! This new capability empowers teams to securely expose data to AI clients, tools, and agents—without sacrificing enterprise-grade control. RBAC-protected dataset access Fine-grained, zero-trust data exposure Seamless integration with OpenAI, Claude, LangChain & more Machine learning-ready APIs with instant insight delivery.

It's time to start prioritizing every side of API discovery

Join us for a deep dive into API discovery – and why it’s time to treat it like a first-class priority. In this session, we’ll explore what we mean by the “two sides of API discovery” and why unifying both sides with a comprehensive solution is critical to driving API adoption and reuse, strengthening your organization’s security posture, and mitigating the financial and developer productivity-related costs associated with API sprawl.

Kong AI Gateway 3.11: Reduce Token Spend, Unlock Multimodal Innovation

Today, I'm excited to announce one of our largest Kong AI Gateway releases (3.11), which ships with several new features critical in building modern and reliable AI agents in production. We strongly recommend updating to this version to get access to the latest and greatest that AI infrastructure has to offer.

Kong Gateway Enterprise 3.11 Makes APIs & Event Streams More Powerful

We’re excited to bring you Kong Gateway Enterprise 3.11 with compelling new features to make your APIs and event streams even more powerful, including: We’ll also touch on what’s new with Konnect networking and Active Tracing. There’s a lot to unpack, so keep on reading for the full story!

Build Your Own Internal RAG Agent with Kong AI Gateway

RAG (Retrieval-Augmented Generation) is not a new concept in AI, and unsurprisingly, when talking to companies, everyone seems to have their own interpretation of how to implement it. So, let’s start with a refresher. RAG (short for Retrieval-Augmented Generation) is a technique that injects relevant data from an external knowledge source directly into a prompt before sending it to a Large Language Model (LLM). “But wait, my model is already fine-tuned on my domain-specific data.

Why API-First Matters in an AI-Driven World

APIs have long been the backbone of modern software systems, architectures, and businesses. They now dominate the web, accounting for 71% of all internet traffic. Generative AI is accelerating this trend especially as we pivot our interaction with common web-based capabilities, like “search” in favour of AI-enriched variants. More AI leads to more APIs, and with that, APIs act as an important mechanism to move data into and out of AI applications, AI agents, and Large Language Models (LLMs).

Embed Quality to Ensure Regulatory Compliance in FinTech Solutions

This article originally appeared on Software Testing News. We’re sharing it here for our audience who may have missed it. An overlooked API can expose customer data, trigger multi-million-dollar fines, and sink a FinTech product launch. And now, the FinTech industry is at a crossroads, driven by innovation yet bounded by intensifying regulatory demands.

Bridging SQL and Vector DBs: Unified Data AI Gateways for Hybrid AI Stacks

AI systems need both structured data (like spreadsheets) and unstructured data (like images or text). SQL databases excel at structured data, while vector databases handle unstructured data for tasks like similarity searches. The solution? Hybrid AI stacks that combine both through unified Data AI Gateways.