
The MLSecOps Podcast
Welcome to The MLSecOps Podcast, presented by Protect AI. Here we explore the world of machine learning security operations, a.k.a., MLSecOps. From preventing attacks to navigating new AI regulations, we'll dive into the latest developments, strategies, and best practices with industry leaders and AI experts. Sit back, relax, and learn something new with us today.
Learn more and get involved with the MLSecOps Community at https://bit.ly/MLSecOps.
The MLSecOps Podcast
AI Vulnerabilities: ML Supply Chains to LLM and Agent Exploits
Full transcript with links to resources available at https://mlsecops.com/podcast/ai-vulnerabilities-ml-supply-chains-to-llm-and-agent-exploits
Join host Dan McInerney and AI security expert Sierra Haex as they explore the evolving challenges of AI security. They discuss vulnerabilities in ML supply chains, the risks in tools like Ray and untested AI model files, and how traditional security measures intersect with emerging AI threats. The conversation also covers the rise of open-source models like DeepSeek and the security implications of deploying autonomous AI agents, offering critical insights for anyone looking to secure distributed AI systems.
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