Partially Redacted: Data, AI, Security & Privacy

Partially Redacted brings together leaders in engineering, data, AI, security, and privacy to share knowledge, best practices, and real world experience.

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April 24, 2024

Protecting and Using Sensitive Health Data with Integral's Shubh Sinha

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.

April 17, 2024

Balancing Innovation and Responsibility in AI/ML Deployment with Jozu's Brad Micklea

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.

March 27, 2024

Prompt Injection Attacks with SVAM's Devansh

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.

March 20, 2024

The Hidden Hazards of Managing Unstructured Data with Skyflow's Joice John

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.

March 13, 2024

Building Enterprise-grade Security with Skyflow's Daniel Wong

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.

March 6, 2024

Battling Phone and SMS Fraud with Phound's Dave Erickson

Sean Falconer chats with Dave Erickson, the co-founder of Phound, which is redefining the way people connect and communicate. Dave shares why texts can easily get targeted by scams, how fraudsters hide their identity, and the tricks they use to trick people.