In this episode, Roshmik Saha, Co-founder (Engineering) at Skyflow, discusses the critical importance of Personally Identifiable Information (PII) data isolation. The principle is straightforward—separate sensitive and non-sensitive data for effective data governance and privacy. The conversation covers historical origins, government use, and real-world examples from companies like Apple and Google.
The episode explores why PII isolation is vital, detailing risks and consequences of not implementing it effectively. Roshmik contrasts data isolation with encryption and access control, emphasizing practicality. "Zero trust" in data security is introduced as a verification-centric approach. Challenges in isolating PII are acknowledged, with a focus on security principles.
Best practices for PII isolation include a "need to know" basis and fine-grained access control. Roshmik provides advice for organizations, urging them to prioritize isolation, avoid integration pitfalls, and adopt a zero-trust mindset for enhanced data security.
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.