As AI capabilities advance, they transform the security landscape in real time. To address these challenges at scale, no single company can act in isolation. We must bring together our respective expertise across the industry. That is why Red Hat is proud to participate as an inaugural member of the new Open Secure AI Alliance with NVIDIA. This initiative focuses on developing open tools and techniques to safeguard the AI stack—from open weight models to agent harnesses—to help drive safety, transparency, and broad scientific scrutiny. Open source models and frameworks act as vital defensi
I’m fortunate that I get to speak with hundreds of customers every year. These enterprises span the technology adoption curve—some who thrive on the leading edge, and others who prefer being as risk-averse as possible. But the AI era—ever-churning and bursting with exuberance—has united nearly all of them at this moment. Experiment time is over. Enterprises are focused on moving beyond theoretical AI pilots to operationalizing it at scale, optimizing costs, and governing its actions.Beyond those corporate mandates, which are important, I think what’s refreshing about my conversations
When integrating AI into your software development processes, the methodology you use to build software is as important as the models themselves. At Red Hat, we believe the true value of AI emerges when it is integrated into transparent, scalable, and reliable enterprise workflows. We're moving beyond traditional development practices toward a new agentic software development life cycle (SDLC). Within Red Hat AI Engineering, this approach treats AI agents not as isolated, automated tools, but as active, collaborative participants in the development lifecycle—helping drive progress from the i