Enterprise GenAI success depends on more than models—security, observability, evaluation, and integration are critical to move from fragile pilots to reliable, scalable AI ...

AI’s growth exposes new risks to data in use. Learn how confidential computing, attestation, and post-quantum security protect AI workloads in the cloud ...

Edgeless Systems Continuum platform applies confidential computing to artificial intelligence (AI) workloads to better secure them ...

By Artur Cygan Creating reproducible builds for SGX enclaves used in privacy-oriented deployments is a difficult task that lacks a convenient and robust solution. We propose using Nix to achieve reproducible and ...

The development of privacy-enhancing technologies (PETs) can resolve the tension between data privacy and utility ...

Oracle today added a confidential computing capability to its Oracle Cloud Infrastructure service at no extra cost. The service is based on AMD Secure Encrypted Virtualization (SEV) or AMD Secure Memory Encryption ...

For the enterprise, data is like the air we breathe. At the same time, data seems to be indefensible, with data breaches and intellectual property loss a near certainty. New technologies arrive ...

More organizations are turning their eyes to edge computing as cloud adoption reaches new heights. Experts predict there will be 55 billion edge devices by 2022 as latency and resilience demands grow ...

Being able to encrypt data while it’s actually being used has always been a challenge. After all, people and systems need to see information in order to use it. For years, security ...

One of the first jobs I got after I joined IBM was in Competitive Analysis. I got the job after doing a several year stint in Internal Audit as part of a ...