Navigating Regulatory Challenges in Machine Learning Assurance

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This week The MLSecOps Podcast talks with Dr. Christina Liaghati, AI Strategy Execution & Operations Manager of the AI & Autonomy Innovation Center at MITRE.

Chris King, Head of Product at Protect AI, guest-hosts with regular co-host D Dehghanpisheh this week. D and Chris  discuss various AI and machine learning security topics with Dr. Liaghati, including the contrasts between the MITRE ATT&CK matrices focused on traditional cybersecurity, and the newer AI-focused MITRE ATLAS matrix. 

The group also dives into consideration of new classifications of ML attacks related to large language models, ATLAS case studies, security practices such as ML red teaming; and integrating security into MLOps.

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