Send us a textFull transcript with links to resources available at https://mlsecops.com/podcast/rethinking-ai-red-teaming-lessons-in-zero-trust-and-model-protectionThis episode is a follow up to Part 1 of our conversation with returning guest Brian Pendleton, as he challenges the way we think about red teaming and security for AI. Continuing from last week’s exploration of enterprise AI adoption and high-level security considerations, the conversation now shifts to how red teaming, zero trust, and privacy concerns intertwine with AI’s unique risks.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 Source Security Toolkit for LLM Interactions Huntr - The World's First AI/Machine Learning Bug Bounty Platform

Ver todos los episodios