Podcasts

Generally AI Episode 1: Large Language Models

In this podcast episode of Generally AI, Roland Meertens and Anthony Alford explore the world of large language models, focusing on their vulnerabilities and security measures. Additionally, they delve into the history of the transformer architecture and Google's role in its development, along with the basics of LLM inference.

Shreya Rajpal on Guardrails for Large Language Models

We are talking with Shreya Rajpal, CEO and Cofounder of Guardrails AI. Shreya shares her insights on building guardrails for large language model (LLM) applications. Rajpal discusses how Guardrails AI assesses the reliability and safety of LLM applications, ensuring any input sent to the model is functionally correct and providing a framework for developers to create their own custom validators.

Tracy Miranda on Secure Supply Chains, SBOMs, and SLSA

In this episode, Tracy Miranda, a leader in the secure software supply chain domain, sat down with InfoQ podcast co-host Daniel Bryant and discussed the current state of the industry. Topics covered included the benefits of SBOMs and SLSA, getting started with generating SBOMs, and how developers should work with leadership when evaluating their organization’s security posture.

Dan Benjamin on Cloud Data Security and Data Detection and Response

In this podcast, Srini Penchikala spoke with Dan Benjamin, the CEO of Dig Security, on three main topics: Cloud Data Security, Data Security Posture Management, Data Detection and Response (DDR).

Kim Lewandowski and Michael Lieberman on Securing the Software Supply Chain with SLSA

Charles Humble talks to Kim Lewandowski and Michael Lieberman about the SLSA framework.  They discuss why the software supply chain is under growing attack, explore the key ideas in SLSA and its connection to Google’s Binary Authentication for Borg, and think about how the framework might evolve.