Organizations have invested heavily in protecting data at rest and in transit—but what about data in use? As AI workloads become more prevalent and sensitive data spends more time in memory, traditional security approaches leave a critical protection gap. This Omdia eBook explores how confidential computing and hardware-based security help protect data during processing and support secure AI adoption. Inside, you’ll learn:
- Why data in use has become the next frontier in cybersecurity
- How confidential computing helps protect sensitive workloads and AI data
- The role of hardware-rooted security in meeting compliance and data sovereignty requirements
Download the eBook to discover how to close the data protection gap and strengthen security for the AI era.
