"During his four years as chairman of the Federal Communications Commission, Michael Powell championed the idea that new communications technologies should not be subject to federal and state regulations. But as Powell prepares to step down in March, Voice over Internet Protocol (VoIP) -- the technology that allows telephone calls to travel over the Internet -- faces a push by several states to regulate it as a traditional telephone service, a move that many fear would stifle its potential."
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...