"Researchers Identify Over 20 Supply Chain Vulnerabilities in MLOps Platforms"

JFrog researchers have brought further attention to security risks in the Machine Learning (ML) software supply chain after discovering over 20 vulnerabilities that attackers could exploit to target ML Operations (MLOps) platforms. The discovered flaws, which are said to be inherent and implementation-based, could result in arbitrary code execution, the loading of malicious datasets, and more. This article continues to discuss the discovery of supply chain vulnerabilities in MLOps platforms.

THN reports "Researchers Identify Over 20 Supply Chain Vulnerabilities in MLOps Platforms"

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