Practical Foundations for Securing AI

The MLSecOps Podcast | Season 2 Episode 11
With Guest Ron F. Del Rosario, Chief Product Security Architect and AI/ML Security Lead at SAP ISBN
Hosted by Daryan Dehghanpisheh, Co-Founder and President of Protect AI

In this episode of the MLSecOps Podcast, we delve into the critical world of security for AI and machine learning with our guest Ron F. Del Rosario, Chief Security Architect and AI/ML Security Lead at SAP ISBN. The discussion highlights the contextual knowledge gap between ML practitioners and cybersecurity professionals, emphasizing the importance of cross-collaboration and foundational security practices. We explore the contrasts of security for AI to that for traditional software, along with the risk profiles of first-party vs. third-party ML models. Ron sheds light on the significance of understanding your AI system's provenance, having necessary controls, and audit trails for robust security. He also discusses the "Secure AI/ML Development Framework" initiative that he launched internally within his organization, featuring a lean security checklist to streamline processes. We hope you enjoy this thoughtful conversation!

Additional MLSecOps and AI Security tools and resources to check out:

[Amr_Abdellatif]

Awesome guest, keep up the good work, this inspires me alot