Systems | Development | Analytics | API | Testing

7 Challenges Delivering Secure Aerospace Software in the Age of AI (with Solutions)

The challenge of any aerospace company is to deliver new capabilities without compromising safety, reliability, or precision. At our current juncture, legacy technology runs into conflict with modern tool stacks. Artificial intelligence (AI) creates fissures in compliance and auditability, and innovation and productivity gains come at a cost of greater complexity. Despite these seismic shifts, the central question remains the same.

What Is Agile ALM (Application Lifecycle Management)?

Agile ALM manages the entire application lifecycle, including requirements, development, testing, and release, using Agile principles while maintaining end‑to‑end visibility and traceability. It supports iterative delivery, continuous feedback, and changing requirements to ensure that every decision and change is connected, auditable, and aligned with business and regulatory needs. The benefits of Agile ALM include.

Rust Demo: Rust and C, C++ Mixed-Language Support in Perforce QAC and Klocwork

In this demo, see how Perforce Static Analysis quickly and efficiently scans Rust code to detect security issues beyond memory safety. We also show you how the cross-language capabilities in QAC and Klocwork enable the analysis of mixed Rust, C, and C++ codebases.

Static Data Masking vs. Dynamic Data Masking: What's the Best Approach?

Data masking comes in different forms: dynamic vs. static masking. Each has its own characteristics, use cases, and methods for data protection. But when it comes to comprehensive, consistent protection, static data masking rises above. In this blog, we’ll break down where dynamic data masking works, how it fails, and which use cases you need to use static masking for.

How to Make the Most of AI Tools for Modernization

AI tools promise speed — but what does AI modernization actually mean in practice? In this video, learn how the best AI tools can accelerate application modernization without increasing risk. We cover how AI tools analyze large legacy codebases, support refactoring, and speed up modernization—when paired with expert human oversight. You’ll learn: Whether you’re exploring AI tools or already modernizing, this video shows how combining AI acceleration with experienced engineers leads to better outcomes.

Establishing a Multicloud Data Strategy for the AI Era

In my experience working with enterprise leaders, the journey to the cloud rarely follows a straight line. Many organizations set ambitious goals to move all operations to the cloud. They quickly find that certain legacy systems must remain on-premises. This reality results in a complex, hybrid multicloud environment. That means they need to adopt a new strategy for managing test data.

Choosing the Right Data Protection Approach for Your Non-Prod Environments | Full Webinar

Dive into the pros and cons of data masking and synthetic data generation, with real-world examples and practical use cases. In this webinar, Perforce Delphix experts Ilker Taskaya and Hims Pawar show you how to select the right approach based on your specific needs, compliance requirements, and data accessibility challenges.

Create Without Limits with Perforce P4 Version Control

From semiconductor fabs to AAA game studios, Perforce P4 is the version control platform behind the world's most ambitious creative and engineering work. Global industry leaders, including NVIDIA, Samsung, DNEG, Nickelodeon, Sandfall Interactive, Warhorse, and BMW use Perforce P4 to collaborate without boundaries, protect critical IP, and build things the rest of the world relies on. P4 is the version control foundation for.

The Great Disconnect: Why 77% Confidence in AI Results Is a Major Business Risk

According to the Perforce 2026 State of DevOps report, 77% of organizations express high confidence in the outputs generated by their artificial intelligence systems. Yet, this widespread optimism masks a critical vulnerability. While executive confidence in AI results remains high, only 38% of organizations have embedded AI deeply across their delivery stages. Plus, only 39% maintain the fully automated audit trails required to verify these results.

GDPR vs EU Data Act: Key Differences

Find out the key differences between GDPR (focused on data privacy) and the EU Data Act (focused on data ownership and portability). In this clip from the OpenLogic webinar, "Navigating EU Compliance: Open Source Strategies for Digital Sovereignty and Resilience", Perforce CISO Aaron Kiemele explains that contract clauses locking data into proprietary silos are now hard to enforce, and businesses must have credible, tested plans to exit a software platform if data policy or residency requirements shift.