"According to Parks Associates, approximately 30 million U.S. households have a broadband connection, 50 million have either digital cable or direct broadcast satellite (DBS) television service, 18+ million households have a data networking solution, and 75% of U.S. households have a DVD player. As the number of advanced products and services increases, also boosting the number of companies involved in these digital markets, both the complexity and potential for these markets have escalated."
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...