The recording and motion picture industries' major trade groups announced that they have become corporate members of Internet2, the ultra high-speed private Internet used by the research and higher education community. The Motion Picture Association of America (MPAA) and Recording Industry Association of America (RIAA) will "collaborate with the Internet2 community to consider innovative content distribution and digital rights management technologies, and to study emerging trends on high-performance networks to enable future business models." The groups have previously criticized Internet2, which is available at over 200 universities, for its allowance of lightning quick file-sharing by university students and others on the network via a program called i2hub. The RIAA has also taken the step of suing 33 Internet2 file-swappers for copyright infringement. "The movie industry is committed to working with the technology sector to find innovative new ways to deliver entertainment to consumers. The MPAA views this partnership with Internet2 as an important opportunity for collaboration as we seek to link new delivery models with content protection," said MPAA president Dan Glickman.
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...