Researchers Yifeng (Ethan) He and Peter Rong join host Madi Vorbrich to break down their paper "Security of AI Agents." They explore real-world AI agent threats, like session hijacks and tool-based jailbreaks, and share practical defenses, from sandboxing to agent-to-agent protocols.
Full transcript with links to resources available at https://mlsecops.com/podcast/ai-agent-security-threats-defenses-for-modern-deployments
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
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