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The MLSecOps Podcast
MLSecOps.com
58 episodes
3 months ago
Send us a text To close out Season 3, we’re revisiting the standout insights, wildest vulnerabilities, and most practical lessons shared by 20+ AI practitioners, researchers, and industry leaders shaping the future of AI security. If you're building, breaking, or defending AI/ML systems, this is your must-listen roundup. Full transcript, video, and links to episode resources available at https://mlsecops.com/podcast/season-3-finale-top-insights-hacks-and-lessons-from-the-frontlines-of-ai-se...
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All content for The MLSecOps Podcast is the property of MLSecOps.com and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Send us a text To close out Season 3, we’re revisiting the standout insights, wildest vulnerabilities, and most practical lessons shared by 20+ AI practitioners, researchers, and industry leaders shaping the future of AI security. If you're building, breaking, or defending AI/ML systems, this is your must-listen roundup. Full transcript, video, and links to episode resources available at https://mlsecops.com/podcast/season-3-finale-top-insights-hacks-and-lessons-from-the-frontlines-of-ai-se...
Show more...
Technology
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How Red Teamers Are Exposing Flaws in AI Pipelines
The MLSecOps Podcast
41 minutes
3 months ago
How Red Teamers Are Exposing Flaws in AI Pipelines
Send us a text Prolific bug bounty hunter and Offensive Security Lead at Toreon, Robbe Van Roey (PinkDraconian), joins the MLSecOps Podcast to break down how he discovered RCEs in BentoML and LangChain, the risks of unsafe model serialization, and his approach to red teaming AI systems. Full transcript, video, and links to episode resources available at https://mlsecops.com/podcast/how-red-teamers-are-exposing-flaws-in-ai-pipelines Thanks for checking out the MLSecOps Podcast! Get invol...
The MLSecOps Podcast
Send us a text To close out Season 3, we’re revisiting the standout insights, wildest vulnerabilities, and most practical lessons shared by 20+ AI practitioners, researchers, and industry leaders shaping the future of AI security. If you're building, breaking, or defending AI/ML systems, this is your must-listen roundup. Full transcript, video, and links to episode resources available at https://mlsecops.com/podcast/season-3-finale-top-insights-hacks-and-lessons-from-the-frontlines-of-ai-se...