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Monitoring as a Security Approach for Machine Learning
Exploring the rationale behind prioritizing monitoring as a security measure for AI, focusing on identifying attacks through behavioral patterns and empowering data scientists and security operators to protect ML assets efficiently. The chapter delves into the complexities of monitoring machine learning models to prevent exploitation, emphasizing the need to differentiate between benign and anomalous behaviors.