SECURE GENERATIVE-ARTIFICIAL INTELLIGENCE PLATFORM INTEGRATION ON A CLOUD SERVICE
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United States of America
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Issued Date -
Mar 20, 2025
app pub date -
May 28, 2024
filing date -
May 28, 2024
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Abstract
The present disclosure relates to secure deployment of model weights from a generative artificial intelligence (GenAI) platform to a cloud service. The method includes accessing the model metadata and a set of weights of a GenAI model associated with a GenAI platform. These model weights may be encrypted using a first encryption key that may be provided in the model metadata. These encrypted model weights may be decrypted based on the model metadata by utilizing the first encryption key from the model metadata. Each key may be associated with the specific type of GenAI model. Before storing the model weights from the GenAI platform cloud tenancy to a cloud storage in GenAI home region, the model weights may be encrypted again by utilizing a second encryption key. This encryption by the cloud may enable independent control over the sensitive information during transit and storing.
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