Learn how AI agents embedded in Oracle Fusion are changing the testing landscape, and how Tricentis AI Workspace helps teams validate quarterly releases faster and with more confidence.
Looking back on 2025, one idea anchors everything we set out to accomplish: make data accessible and trusted so organizations can generate better decisions for their business, their customers, and the world.
Performance engineering teams are already stretched. AI-accelerated development means more code, more releases, and more pressure on the people responsible for making sure it all holds up. Tricentis NeoLoad 2026.2 is built around a straightforward premise: performance validation must scale to match the pace of delivery, and that means more than just making specialists faster.
Your testing strategy was built for a world before AI wrote code. That world is gone. AI is now generating code, reviewing pull requests, writing tests, and analyzing defects, faster than any team can validate it manually. In this session, Perforce CTO leaders Anjali Arora and Rod Cope sit down with VP of Product Steven Feloney to break down why traditional test automation can't keep pace, and what comes next.
Join the IPLM product team as they review important Q2 product updates including protected properties, filtering, shopping cart, and Pi Release dry run. Includes a demo of the new Perforce IPLM "Ask AI" capability utilizing our MCP and RAG servers.
An effective Java debugging strategy lets us pause execution, inspect data, and observe real execution rather than relying on vague assumptions. The complexity of the Java Virtual Machine creates unique challenges, but a focused approach will turn this complexity to our advantage. This guide will equip you with the tools to do this, looking at: By the end, you’ll have a practical workflow to debug Java reliably across local and remote environments.
Product threat intelligence tells payment device manufacturers and payment service providers (PSP) about the vulnerabilities and attack techniques that threaten the products they build or rely on to process payments. In 2026, the kind of specialist product threat intelligence provided by firms like PCA Cyber Security is getting much more critical for compliance and cyber resilience.
This is the fifth post in our "Features Sitting Idle" series, where we look at OctoPerf features that are already in your platform but often missed by the teams that would benefit the most. This one is for IT teams running OctoPerf on-premise. IT teams managing an on-premise OctoPerf instance regularly run into the same friction around SSO.
AI is becoming part of every stage of the testing lifecycle. Teams are using it to analyze requirements, design test cases, generate automation scripts, and accelerate execution activities that previously required significant manual effort. Within Xray, AI already helps transform Jira requirements into actionable test cases with AI Test Case Generation.