Securing AI: The Role of People, Processes & Tools in MLSecOps

Описание: The MLSecOps Podcast | Season 2 Episode 8
With Guests Gary Givental and Kaleb Walton
Hosted by Daryan Dehghanpisheh and special guest-host Martin Stanley, CISSP

In this episode of The MLSecOps Podcast hosted by Daryan Dehghanpisheh (Protect AI) and special guest-host Martin Stanley, CISSP (Cybersecurity and Infrastructure Security Agency), we delve into critical aspects of AI security and operations. This episode features esteemed guests, Gary Givental (IBM) and Kaleb Walton (FICO).

The group's discussion unfolds with insights into the evolving field of Machine Learning Security Operations, aka, MLSecOps. A recap of CISA's most recent Secure by Design and Secure AI initiatives sets the stage for the a dialogue that explores the parallels between MLSecOps and DevSecOps. The episode goes on to illuminate the challenges of securing AI systems, including data integrity and third-party dependencies. The conversation also travels to the socio-technical facets of AI security, explores MLSecOps and AI security posture roles within an organization, and the interplay between people, processes, and tools essential to successful MLSecOps implementation.

Thanks for listening! Find more episodes and transcripts at https://bit.ly/MLSecOpsPodcast.

Additional MLSecOps and AI Security tools and resources to check out:
Protect AI Radar (https://bit.ly/ProtectAIRadar)
Protect AI’s ML Security-Focused Open Source Tools (https://bit.ly/ProtectAIGitHub)
LLM Guard - The Security Toolkit for LLM Interactions (https://llm-guard.com)
Huntr - The World's First AI/Machine Learning Bug Bounty Platform (https://bit.ly/aimlhuntr)