MITRE ATLAS: Defining the ML System Attack Chain and Need for MLSecOps; With Guest: Christina Liaghati, PhD
The MLSecOps Podcast
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Navigating Cybersecurity in AI Landscapes
This chapter explores the integration of the ATT&CK framework with AI security through Atlas, which addresses vulnerabilities specific to machine learning systems. By examining real-world case studies, including a significant theft from the Shanghai Tax Authority, it highlights the complexities and evolving threats posed by adversarial machine learning. The discussion underscores the need for a nuanced cybersecurity approach as traditional tactics merge with new vulnerabilities in AI-driven technologies.
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