Perforce Software Blog

For large, scaling enterprises hoping to protect sensitive data while pursuing agentic development, the winner between Perforce Delphix vs. Redgate is clear. Delphix stands as the intelligent data automation platform that delivers expedited, trustworthy, AI-ready test data. It unifies automated data delivery, masking, synthetic generation, and centralized control, granting teams on-demand access to test data across hybrid and multicloud environments.

Apple's iOS 27 release marks another significant shift in the mobile landscape. Beyond new features for iPhone users, it signals a familiar pressure point for QA and development teams: the clock starts ticking the moment the update goes live, and your apps need to be ready. Here's why that matters: nearly 80% of iPhone users adopt the newest iOS version almost immediately. That high adoption rate leaves little room for error. If your app breaks on the iOS 27 release, your customers notice fast.

Testing looks nothing like it did five years ago. What once demanded armies of engineers writing brittle scripts now runs on intelligent systems that create, adapt, and analyze tests on their own. AI has rewritten the rules, and the teams that recognize this shift early are pulling ahead of those still patching broken automation night after night. For QA leaders and DevOps directors under pressure to ship faster without sacrificing quality, understanding this evolution is more than academic.

OWASP and OWASP Top 10 help to safeguard your code against software security vulnerabilities. Here, we explain what OWASP is and what the OWASP Top 10 vulnerabilities are. ➡️ Safeguard Your Software: Download Free Guide Back to top What Is OWASP? OWASP stands for Open Web Application Security Project. It is a non-profit foundation whose sole purpose is to improve software security by providing the community with the tools and knowledge.

As AI accelerates software creation, enterprises need data delivery systems that can keep validation, security, and governance moving at the same pace. Delphix unifies masked production data, synthetic data, automated delivery, and centralized control. And as a result, teams and AI agents can test more completely, reduce sensitive-data exposure, and release software with confidence. Further reading >> What is Delphix?

Software vulnerabilities must be identified and prevented, which requires you to have an understanding of the vulnerabilities definition. Here, we go over vulnerabilities definitions and provide a list of the top 10 software vulnerabilities and tips on how to prevent software vulnerabilities. ➡️ Fix software vulnerabilities with Klocwork Back to top Software Vulnerabilities Definition Software vulnerabilities are weaknesses or flaws present in your code.

Back to top It Started with a Question: Where Can AI Save Our Team Time? In April 2026, when our Perforce engineering team was introduced to Claude, my team didn't jump straight into using it. We sat down, mapped our entire development lifecycle, and asked one focused question: Where does AI create the highest impact for us, specifically? Not for AI in general. Not for some hypothetical engineering team. For us. For the P4 Code Review team. For the workflows we actually run every single day.

Testing across web, mobile, and performance layers has become one of the hardest problems in enterprise software delivery. Teams juggle fragile scripts, siloed tools, and mounting maintenance work that slows every release. AI cross-platform testing changes that equation, and Perforce Autonomous Testing puts it within reach. In this post, you will learn what AI-driven cross-platform testing is, why it matters for QA leaders, and how Perforce Autonomous Testing works from setup to execution.

Perforce Delphix is the intelligent data automation platform that delivers fast, trusted, AI-ready data environments, combining synthetic data, masked production data, and automated delivery to support enterprise-scale testing and development. Accelerate AI-Driven Delivery Move faster with realistic, reproducible test data for new features, edge cases, and integration scenarios.

Your customers judge your applications in seconds. A misaligned button, a broken checkout flow, a slow-loading screen on an older Android device: any of these can send users to a competitor. Yet the testing methods meant to catch these issues often can't keep up with the pace or scale that modern web and mobile delivery demands. For QA leaders, the math no longer works. More devices, more browsers, more releases, and the same scripts that break every time the interface shifts.