In this episode, Manish Ahluwalia, the field CTO of Skyflow, discusses the technical aspects of data residency and the usage of a data privacy vault.
He explains the concept of data residency and data localization. He noted that with the increasing amount of data being generated and shared, it is becoming increasingly important for organizations to ensure that their data is being stored and processed in compliance with local laws and regulations. However, this is a technically challenging problem because data typically ends up all over the place and companies lose track of what and where they’re storing it.
Ahluwalia then discussed the role of a data privacy vault in addressing data residency concerns. He explained that a data privacy vault is a secure, centralized repository for sensitive data that can be used to enforce data residency requirements.
He also discussed how companies can use the data privacy vault to ensure that data is only accessed by authorized parties, and that the data is only used for specific purposes. He also explained that data privacy vaults can be used to track and audit data access, which can be useful for compliance and regulatory purposes.
AWS Nitro Enclaves is a service provided by AWS that enables customers to create isolated compute environments within their EC2 instances. Arvind Rague, Principal Specialist in EC2 and Confidential Computing at AWS, joins the show to explain confidential computing, AWS Nitro Enclaves, and the use cases this technology unlocks.
W. Curtis Preston has been working in backup and disaster recovery for nearly 30 years and has written five books on the subject. He joins the show to discuss backup and recovery missteps, best practices, and how Druva, the SaaS-based backup and recovery platform helps businesses offload backup responsibility.
Liz Acosta, Developer Advocate at Skyflow, joins the show to explain secure multi-party computation (SMPC) and share her recent research into the subject. We begin by explaining the basic concept of SMPC and how it differs from traditional methods of computation.