"According to the authors of The New CIO Leader: Setting the Agenda and Delivering Results, the chief information officer is at a crossroads, buffeted by two conflicting perspectives of IT. The first views IT primarily as a "chief technology mechanic," irrelevant to competitive advantage and far from the executive suite. The second perspective views IT as the heart of every business process, crucial to innovation, and a key driver to enterprise success. If the second perspective is your goal, then a new kind of CIO must lead. This person creates a vision of how IT builds organizational success, creates realistic expectations, goals, and governance procedures, and assembles a team that is less about allocating server space and more about working as a creative and influential team."
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...