Systems | Development | Analytics | API | Testing

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.

EU AI Act: What Businesses Need to Know

Get information about the practical compliance requirements of the EU AI Act, the first AI regulatory framework with real enforcement teeth. In this clip from OpenLogic's webinar "Navigating EU Compliance: Open Source Strategies for Digital Sovereignty and Resilience", Perforce CISO Aaron Kiemele walks through classifying AI systems by risk level, establishing human oversight and audit trails, and documenting training data provenance — while noting that these steps are straightforward but frequently overlooked by organizations.

DORA Compliance for Open Source Explained

DORA's most surprising requirement may be that financial services organizations are responsible for the security and resilience of every third-party vendor and open source dependency in their stack. If a library you depend on fails, that risk is yours to own. Learn more about DORA compliance and how to stay compliant in this clip from the OpenLogic webinar, "Navigating EU Compliance: Open Source Strategies for Digital Sovereignty and Resilience," which aired in February 2026.

EU Compliance: Open Source Strategies for Sovereignty and Resilience

In today's geopolitical environment, asking 'are we compliant?' is no longer enough. The real question is whether your business can survive if the ground shifts beneath it — through trade wars, embargoes, or regulatory changes that threaten your software supply chain.

Top Android Frameworks in 2026: Data from 177 Job Posts

If you want to know which Android frameworks are worth your time, job postings will tell you more than any opinion piece ever will. That’s why I searched Google Jobs for "Android developer", went through every posting the pagination would show me (177 in all), and logged every framework or library mentioned. “Required” frameworks got tagged as required. Anything in a "preferred," "nice to have," or "bonus" section got tagged as nice to have.

A Secure by Default Philosophy Guiding Perforce P4

Security expectations for version control infrastructure have evolved dramatically over the years. While Perforce P4 has always empowered administrators with deep configurability, the default configurations shipped with previous versions of P4 are no longer sufficient. With the upcoming P4 2026.1 (scheduled for availability in May), we are implementing a Secure by Default posture designed to enforce best practices when protecting the source code and binary assets stored in P4.

Why Rust Embedded Development Needs Powerful Static Analysis

For decades, software engineers have relied heavily on C and C++ to build embedded systems. These legacy languages offer the deep control and speed required for constrained environments, but they reveal gaps in memory management and concurrency. The Rust programming language has emerged as a solution.

Why production AI needs a session layer, not just a stream

I spoke at AI Engineer Europe last week, and came away with a clearer picture of where the industry actually is right now. My talk was about why AI user experience breaks at the transport layer. But the bigger takeaway wasn't from my own session. It was from watching what the rest of the room was building, and what problems they were running into.