Verizon launched its iobi service in the mid-Atlantic states. Customers can use the service to manage their communications via the Web, including handling of incoming calls in real time; managing call records, voice messages and calendars; synchronizing multiple electronic address books; and receiving a text message notice of an incoming call or new voice message. Iobi is driven by a Verizon-proprietary data platform that integrates the Verizon wireline network with other networks and with the Internet. It's also coupled with the unique Verizon One device and associated service bundle -- cordless phone, dsl modem and wireless router.
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...