According to ABI Research, it's An Open and Shut Case -- "When the US Congressional Subcommittee on Courts, the Internet and Intellectual property invited testimony from four industry experts, they were considering nothing less than the future of digital rights management in the United States. At issue are proprietary versus open digital rights management (DRM) technologies, and whether governments should get involved. Advocates say that open DRM standards would help the portable industry. Most industry leaders are adopting a government hands off attitude, but ABI believes that other attempts at proprietary DRM schemes probably wouldn't succeed. Apple was the first to offer such a service and the content industry didn't care if their DRM was proprietary. But DRM becomes critical once video, and sharing between STBs and portable devices, become a reality."
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...