Forbes August 7, 2024
The rise of generative AI models has attracted interest for a number of different applications, but both businesses and individuals increasingly rely on cloud-based services while training and deploying AI, which increases the risk of security breaches and data leaks.
Palo Alto, California-based Anjuna wants to reduce that risk using a process called confidential computing it offers in its Seaglass architecture, which creates virtual data exchange boxes that protect data while it’s being accessed. Once connected to these encrypted rooms, that data can be used for tasks such as training AI models, analyzing sensitive information or collaborating on research while reducing the threat of hacks, data breaches or leaks.
“We’ve essentially built what we call a universal confidential computing platform,”...
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