Partially Redacted brings together experts on engineering, architecture, privacy, data, and security to share knowledge, best practices, and real world experiences – all to help you better understand how to use, manage, and protect sensitive customer data.
Aaron Painter, CEO of Nametag, joins the show to explore the evolving threat of AI deepfakes. They discuss the increasing sophistication of deepfake technology, highlighted by the significant rise in incidents such as the Retool hack, and how these technologies can manipulate public perception and 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.
In this episode, Joice John, Senior Product Manager at Skyflow, joins the show to discuss the complexities of managing privacy and security with unstructured data. Joice explains what unstructured data is and its distinction from structured data, and then dives into the technologies that tackle these challenges.
Daniel Wong, Head of Security and Compliance at Skyflow, is back for his third appearance. Daniel discusses his extensive career at the forefront of security engineering, having worked with industry behemoths like Oracle, Salesforce, and CrowdStrike.