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Custom PyTorch and TensorFlow dataset implementations allow access to encrypted data and models.



Easy to Use
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Fast self-service installation
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Seamless user experience
Zero-Trust
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Full access control with no insider threats
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Authomatic data integrity verification
Efficient
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Real-time processing of encrypted data
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Cutting cloud storage costs up to 63%
It takes only a few lines of code to configure the Apache Spark context to enable Databricks to work with the Fortified Data Lake.



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