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The Generative AI Security PodcastAre Your Red Teaming Efforts Giving Bad Actors An Advantage? GenAI SecurityIn this episode of the Generative AI Security Podcast, we sit down with Disesdi Susanna Cox, from the OWASP AI Exchange, to explore the cutting-edge of AI security:🔍 Key topics include:The OWASP AI Exchange as a resource for understanding AI security threats.Fascinating insights on red teaming, adversarial attacks, and why full coverage may be mathematically impossible.How generative AI adoption intersects with predictive AI use cases and security risks.Learn why staying ahead of AI security trends is crucial and how tools like the OWASP AI Exchange can help!#AISecurity #GenerativeAI #OWA...2025-05-2317 min
The MLSecOps PodcastAI/ML Security in Retrospect: Insights from Season 1 of The MLSecOps Podcast (Part 1)Send us a text*This episode is also available in video format! Click to watch the full YouTube video.*Welcome to the final episode of the first season of The MLSecOps Podcast, brought to you by the team at Protect AI.In this two-part episode, we’ll be taking a look back at some favorite highlights from the season where we dove deep into machine learning security operations. In this first part, we’ll be revisiting clips related to things like adversarial machine learning; how malicious actors can use AI to fool machine lear...2023-09-1937 minThe MLSecOps PodcastA Closer Look at "Securing AIML Systems in the Age of Information Warfare" With Guest: Disesdi Susanna CoxSend us a textSecurity researcher, AI/ML architect, & former political operative, Disesdi Susanna Cox, talks with us about her research, some of which can be accessed via her website: anglesofattack.io.Thanks for checking out the MLSecOps Podcast! Get involved with the MLSecOps Community and find more resources at https://community.mlsecops.com. Additional tools and resources to check out:Protect AI Guardian: Zero Trust for ML Models Recon: Automated Red Teaming for GenAI Protect AI’s ML Security-Focused Open Source Tools LLM Guard Open So...2023-03-2930 min