According to Forrester Research -- "Unless mainstream consumers can take a device out of the box and immediately begin enjoying its benefits, they'll leave the box on the retail shelf. Standards are critical to bringing that promise to life, and Intel has long been a standards bearer: first in the PC industry and now in the digital home. The reason is simple: Intel knows that its support for communication, interoperability, and content protection standards will help launch new markets, hence demand for its silicon products. But standards aren't enough; consumers also need reassurance that the product will work in their home. To accomplish this interoperability feat, Intel should donate its internal certification process to a works together certification coalition funded by industry leaders like Best Buy, Intel, Microsoft, and Sony."
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...