Systems | Development | Analytics | API | Testing

The Enterprise API Strategy Cookbook: 8 Ingredients for Legacy Modernization

An enterprise API strategy is no longer an optional IT exercise but a mandate for modern business survival. In the digital economy, your organization's internal connectivity, or lack thereof, determines your speed, agility, and capacity for innovation. This cookbook provides the eight essential ingredients for translating technology investment into clear business outcomes, focusing the C-Suite on value, not code.

Model Context Protocol (MCP) Security: How to Restrict Tool Access Using AI Gateways

For too long, the Model Context Protocol (MCP) has operated on a principle of open access: connect an AI agent to an MCP server, and it gets access to every single tool that server offers. While this approach is simple for initial experimentation, it quickly becomes a liability in production.

CMS Interoperability : Reimagining Prior Authorization with Conversational AI

Prior authorization has long been one of healthcare’s most time-consuming and costly administrative processes, creating friction between payers, providers, and patients. Manual data entry, back-and-forth faxes, and complex coverage rules often delay care delivery and frustrate both clinicians and members. In this webinar, we'll explore how conversational AI — combined with FHIR-based interoperability, contextual understanding, and an agentic approach — can revolutionize the prior authorization process. Discover how AI-driven, human-like interactions can transform prior authorization into a seamless, intelligent workflow.

Introducing the Kong MCP Registry: Connect AI Agents with the Right Tools

In the rapidly evolving landscape of AI-driven development, the Model Context Protocol (MCP) has emerged as the critical standard for connecting AI applications to the data and tools they need. We are excited to announce the Technical Preview (TP) of Kong MCP Registry, a major milestone in our mission to provide the most comprehensive platform for modern API and AI management.

Connect Your Local AI Model to Enterprise Databases with DreamFactory: A Real-World Integration Story

A mid-sized enterprise had a straightforward but powerful idea: use their locally-hosted AI model to automatically generate summaries of employee performance review data stored in their SQL Server database. The workflow seemed simple enough: The reality? This "simple" integration touches on some of the thorniest problems in enterprise software: database security, API orchestration, authentication, timeout management, and reliable data transformation.

Migrate from Postman to Insomnia: Free Collaboration for Unlimited Users

With Valentine’s Day fast approaching, love is in the air. And apparently, so are breakup emails. This isn’t just about one pricing change. It’s about a pattern. Some tools promise “free forever” to get you invested, watch you build workflows, and then change the rules. They know you’ve onboarded your teams, documented your APIs, and integrated the tool into your daily work. By the time they spring the paid tier on you, switching feels painful.

Comparing the top AI test automation tools

AI is reshaping test automation fundamentals. Features that once required hours of manual scripting can now adapt automatically to UI changes, generate realistic test data on demand, and help teams predict which tests matter most. For QA engineers evaluating automation platforms, understanding how AI capabilities differ has become essential. This comparison examines SmartBear TestComplete, Tricentis Tosca, and Ranorex through their AI-powered features.

Top 6 automated testing tools for enterprise scalability

Scaling test automation from hundreds to thousands of tests introduces challenges underestimate. Maintenance overhead compounds as UI changes ripple through test suites. Parallel execution becomes essential but complex to orchestrate. Enterprise applications like SAP, Salesforce, and Oracle demand specialized testing approaches.