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This article discusses the growing security and privacy risks that businesses face with the increasing integration of artificial intelligence (AI) systems. It highlights the vulnerability of machine learning models to adversarial machine learning (AML) attacks and the need for innovative approaches to mitigate these risks. The article also mentions a comprehensive report published by the U.S. National Institute of Standards and Technology (NIST) that provides a taxonomy of AML attacks and corresponding mitigations.