MLSecOps: Red Teaming, Threat Modeling, and Attack Methods of AI Apps | The MLSecOps Podcast скачать в хорошем качестве

MLSecOps: Red Teaming, Threat Modeling, and Attack Methods of AI Apps | The MLSecOps Podcast

The MLSecOps Podcast | Season 1 Episode 6 With Guest Johann Rehberger 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 practices to address the unique challenges of ML security. 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. Thanks for listening! Find more episodes and read the transcript at: https://bit.ly/MLSecOpsPodcast. Additional MLSecOps and AI Security tools and resources to check out: Protect AI Radar (https://bit.ly/ProtectAIRadar) ModelScan (https://bit.ly/ModelScan) Protect AI’s ML Security-Focused Open Source Tools (https://bit.ly/ProtectAIGitHub) Huntr - The World's First AI/Machine Learning Bug Bounty Platform (https://bit.ly/aimlhuntr)