

MITRE ATLAS: Defining the ML System Attack Chain and Need for MLSecOps; With Guest: Christina Liaghati, PhD
Apr 18, 2023
Dr. Christina Liaghati, AI Strategy Execution & Operations Manager at MITRE, dives into AI security challenges, spotlighting the MITRE ATLAS framework and its evolution from traditional cybersecurity. She discusses real-world case studies, including a notorious theft, demonstrating the complexities of adversarial machine learning. The conversation emphasizes tailored strategies for safeguarding machine learning systems, advocating for collaborative efforts in the community and addressing regulatory challenges to ensure robust security in an evolving landscape.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Intro
00:00 • 2min
Navigating Cybersecurity in AI Landscapes
02:08 • 14min
The Selection Process of Case Studies in the Atlas Framework
15:49 • 2min
Securing AI: Evolving Strategies for Emerging Threats
17:23 • 14min
Navigating Regulatory Challenges in Machine Learning Assurance
31:11 • 5min
Call to Action for Collaboration in AI Security
36:13 • 4min