Systems | Development | Analytics | API | Testing

Secure Your AI Agents and MCP Servers - New in WSO2 Identity Server 7.2

AI agents are becoming more autonomous — making decisions, taking actions, and accessing sensitive data — but traditional IAM systems weren’t built for them. How do you secure, control, and audit AI agents in your apps? In this video, Savindi Waduge introduces *WSO2 Identity Server 7.2,* a major release designed to address the security challenges of the AI era. From defining "Identity for AI Agents" to securing the *Model Context Protocol (MCP)* , this update ensures your autonomous systems are secure, accountable, and manageable.

AI and the senior tester: How seasoned QA pros can navigate and help define the future of quality engineering

AI’s impact on quality engineering has been widely discussed, with some predicting a crisis for software testers. The more dire forecasts have narrowed in on the junior tester, as some anticipate that AI’s ability to perform routine tasks will eliminate entry-level roles. As Tricentis has explored, AI will not replace junior testers but will rather remake their jobs, enabling them to engage in strategic work earlier in their careers. But what about the senior tester?

Insights from eBay: How API Ecosystems Are Ushering In the Agentic Era

The rise of intelligent agents and AI prompts is transforming APIs from mere infrastructure into the capability ecosystem of the agentic era, driving a new model of ecosystem-led growth. To prepare for the inevitable explosion of agent-driven API traffic, enterprises are prioritizing a strategic approach to API governance, developer experience, and scalable infrastructure.

Keep Pact Tests Up to Date Automatically | SmartBear MCP Server

Tired of manually updating your Pact contract tests? Learn how to automate the entire process using AI agents with SmartBear MCP tools and GitHub Copilot! In this video, we walk through how AI-assisted contract testing helps you automatically upgrade Pact tests when new features are added to your API.

Introducing the Future of Analytics: Your AI Super Team

We’re entering a new era of analytics—one powered by autonomous agents that do the heavy lifting for you. Together, they compress workflows from hours to minutes and unlock a radically simpler way to build with data. This is Agentic AI, designed for builders, analysts, and teams who want to move faster than ever. You + Agents = Super Team.

The AI Governance Wake-Up Call

Companies are rapidly adopting AI, but it's not all roses. The excitement comes with significant risks, such as shadow AI, runaway costs, and security nightmares. This post explores the real challenges organizations face in AI governance today and highlights how forward-thinking companies are beginning to tackle them. Companies are charging headfirst into AI, with research around agentic AI in the enterprise finding as many as 9 out of 10 organizations are actively working to adopt AI agents.

AI Analytics Reality Check: Why 95% of Projects Miss the Mark

Most AI analytics projects are failing to deliver on their promises, and the cause isn’t what you might expect. This creates widespread project failures and undermines confidence in AI-driven analytics. What are the problems with AI analytics and how can organizations address them?

What's Really Coming in AI Next Year #short

AI is about to reshape security, work, competition, and even healthcare in 2026. In this video, Rod Cope breaks down the shifts leaders need to prepare for — from context engineering becoming a true competitive edge to agentic systems facing major security incidents, AGI claims, and an AI-driven medical breakthrough that could change human health forever. If you’re planning your 2026 strategy, these predictions matter.