#MLops

Researchers Identify Over 20 Supply Chain Vulnerabilities in MLOps Platforms

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August 26, 2024 at 07:30AM Cybersecurity researchers have identified over 20 vulnerabilities in machine learning (ML) software supply chain, posing severe risks like arbitrary code execution and dataset loading. These affect MLOps platforms and ML libraries, like MLFlow and Seldon Core, enabling attackers to execute code and move laterally. The disclosure emphasizes the need for … Read more

To Spot Attacks Through AI Models, Companies Need Visibility

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March 12, 2024 at 04:03PM The rush to develop AI/ML models overlooks their security, risking backdoor and hijacking attacks. Companies lack visibility into their 1,600+ models in production, leaving them vulnerable. Pretrained models from repositories raise security concerns, with potential for attackers to compromise systems. Securing ML operations and assessing model security are crucial in … Read more