The U.S. Department of Justice announced that it has launched "Operation Site Down," conducting some 90 searches in 11 countries and arresting several people suspected of running Internet piracy sites where users could download movies, music and software for free. The government said its actions targeted "warez" piracy groups including RiSCISO, Myth, TDA, LND, Goodfellaz, Hoodlum, Vengeance, Centropy, Wasted Time, Paranoid, Corrupt, Gamerz, AdmitONE, Hellbound, KGS, BBX, KHG, NOX, NFR, CDZ, TUN and BHP -- resulting in seizure of hundreds of computers and the shut down of at least eight major file-sharing servers. The Department of Justice estimated the sites offered movies, software and other content valued at over $50 million, including the recently released Star Wars film. "Our objective in this operation was to find and dismantle large-scale criminal enterprises that illegally obtain, copy, distribute, and trade in copyrighted software, music, movies, and video games," said U.S. Atty. General Alberto Gonzales.
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...