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.
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In this episode we’re joined by Shubh Sinha, CEO and Co-founder of Integral, to discuss the protection and utilization of sensitive health data.
In this episode, we dive into the world of MLOps, the engine behind secure and reliable AI/ML deployments. MLOps focuses on the lifecycle of machine learning models, ensuring they are developed and deployed efficiently and responsibly.
In this episode, we dive deep into the world of prompt injection attacks in Large Language Models (LLMs) with the Devansh, AI Solutions Lead at SVAM. We discuss the attacks, existing vulnerabilities, real-world examples, and the strategies attackers use.