Secure AI Development & Training via Confidential Computing and TEEs
Blog post from Duality
Confidential computing is playing an increasingly significant role in ensuring the security and privacy of data used in AI development and training, as highlighted by the Biden-Harris administration's executive order on trustworthy AI. Duality Technologies is advancing this field by integrating Privacy Enhancing Technologies (PETs) and Trusted Execution Environments (TEEs) into their Secure Data Collaboration platform. This integration allows for secure and confidential data processing, protecting sensitive information and intellectual property across various industries, including healthcare, finance, and insurance. By leveraging hardware-based TEEs provided by major cloud vendors like Amazon, Google, and Microsoft, alongside software PETs such as Fully Homomorphic Encryption, Duality simplifies the complex processes of encryption key management, governance, and secure collaboration. Their platform facilitates secure analysis of structured and unstructured data without exposing sensitive information, demonstrated by a proof of concept involving collaboration among a medical center, genetic research organization, and pharma researcher. As the demand for secure data handling in AI grows, Duality’s approach offers a flexible and comprehensive solution for organizations seeking to protect their data and models.
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