Think self-scanning is the summit of supermarket gizmos? Think again. -- "From self-scan checkouts at grocery stores to electronic information kiosks at retail chains, businesses are making technology an ever more central part of the overall shopping experience. IBM, which is investing heavily in shopping computerization, reports that shoppers from different countries across the board are increasingly open to using new in-store technologies. The company says that super-shoppers have become empowered by their ability to access data online, and this ability translates into an extremely knowledgeable consumer base, with specific customer-service needs."
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...