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What Black Hat 2026 Revealed About the Future of Security Operations Cybersecurity has always been a race against time. Black Hat 2026 made it clear that AI is putting new pressure on the clock. The industry’s answer to growing risk has long included more visibility, more detection and more specialized tools. Those investments generated valuable […]
The post
It's well accepted that AI has changed the economics of software development. Code is plentiful. Leading coding agents can generate JavaScript, Python, Java and other software artifacts at remarkable speed at far lower costs. But more code does not necessarily produce better enterprise applications and outcomes.
We believe the enterprise challenge is shifting from code...
Why container security is shifting from vulnerability detection toward attack surface reduction, memory safety, and secure architecture.
The post Container Security Is Moving From Detection to Attack Surface Reductio...
Enterprise AI is moving beyond experimentation toward scalable, production-ready systems. As inference, trusted data, hybrid deployment, and agent governance become critical, Red Hat is positioning its open platform as the control plane enterprises need to shift from consuming AI tokens to producing them.
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I've been getting a lot of great feedback lately — from enterprises and readers alike — asking about the importance of sovereignty when it comes to AI, and why we insist on holding the line on the five pillars we prescribe: Territorial, Operational, Technological, Legal, and Financial.
The question underneath most of that feedback is the same one, and it's a good one. ...