Enterprises are hesitant to adopt generative AI due to concerns about data privacy. Shadow AI poses risks such as data leakage and compliance violations. Privacy-enhancing technologies like homomorphic encryption, secure multi-party computation, and differential privacy are used to protect data in GenAI. Confidential computing, using hardware-based trusted execution environments, is a privacy-preserving AI solution. It ensures sensitive data is protected during use and is implemented in various environments. The ultimate goal is to achieve confidential AI, a secure platform that uses TEEs to train and operate machine learning models on sensitive data.
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The Rise of Shadow AIThe Risks of Shadow AIShining a Light on Shadow AIA Better Solution for Data Privacy in GenAIConfidential Computing as a Privacy-Preserving AI SolutionThe Ultimate Goal: Confidential AIShare this post