The Power of Confidential Computing in Securing Generative AI Adoption

The adoption of generative AI poses significant security and privacy concerns for enterprises, as it can potentially expose proprietary data and lead to breaches of intellectual property. To address these challenges, confidential computing, a new approach to data security that protects data while in use and ensures code integrity, is emerging as a solution. Confidential computing isolates data and intellectual property from infrastructure owners and makes them accessible only to trusted applications running on trusted CPUs, ensuring data privacy through encryption. This technology can help enterprises embrace the power of generative AI without compromising on safety and compliance with evolving regulations.