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MLSecOps: Red Teaming, Threat Modeling, and Attack Methods of AI Apps; With Guest: Johann Rehberger

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Manage episode 361711037 series 3461851
Content provided by MLSecOps.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MLSecOps.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Johann Rehberger is an entrepreneur and Red Team Director at Electronic Arts. His career experience includes time with Microsoft and Uber, and he is the author of “Cybersecurity Attacks – Red Team Strategies: A practical guide to building a penetration testing program having homefield advantage” and the popular blog, EmbraceTheRed.com.
In this episode, Johann offers insights about how to apply a traditional security engineering mindset and red team approach to analyzing the AI/ML attack surface. We also discuss ways that organizations can adapt their traditional security postures to address the unique challenges of ML security.

Thanks for listening! Find more episodes and transcripts at https://bit.ly/MLSecOpsPodcast.
Additional tools and resources to check out:
Protect AI Radar: End-to-End AI Risk Management
Protect AI’s ML Security-Focused Open Source Tools
LLM Guard - The Security Toolkit for LLM Interactions
Huntr - The World's First AI/Machine Learning Bug Bounty Platform

  continue reading

32 episodes

Artwork
iconShare
 
Manage episode 361711037 series 3461851
Content provided by MLSecOps.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by MLSecOps.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Johann Rehberger is an entrepreneur and Red Team Director at Electronic Arts. His career experience includes time with Microsoft and Uber, and he is the author of “Cybersecurity Attacks – Red Team Strategies: A practical guide to building a penetration testing program having homefield advantage” and the popular blog, EmbraceTheRed.com.
In this episode, Johann offers insights about how to apply a traditional security engineering mindset and red team approach to analyzing the AI/ML attack surface. We also discuss ways that organizations can adapt their traditional security postures to address the unique challenges of ML security.

Thanks for listening! Find more episodes and transcripts at https://bit.ly/MLSecOpsPodcast.
Additional tools and resources to check out:
Protect AI Radar: End-to-End AI Risk Management
Protect AI’s ML Security-Focused Open Source Tools
LLM Guard - The Security Toolkit for LLM Interactions
Huntr - The World's First AI/Machine Learning Bug Bounty Platform

  continue reading

32 episodes

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