The presentation discusses the use of secure MLOps in the life science industry, with a focus on protecting patient privacy and complying with industry standards.
- Tokenization is used to protect patient privacy by changing personally identifiable information to a token based on a hardware security key.
- Strict confinement features of micro-kubernetes distribution are used to ensure tamper-proof tokenization.
- Confidential computing is used to expand local Kubernetes clusters in a safe way by creating a VM on a public cloud and utilizing open enclave and open source projects to configure the confidential compute and underlying hardware features.
- The benefits of using public clouds for research use cases are discussed, including the ability to spike up capacity when training a bigger model.
- The presentation emphasizes the importance of using secure MLOps to comply with industry standards and protect patient privacy.