As the move to the cloud accelerates, organizations increasingly rely on large data teams to make data-driven business decisions. To accomplish their jobs, data professionals work with dedicated tools that are often deployed to development and production environments and are frequently given high privileges. Threat actors are innovators, constantly looking for new ways to penetrate organizations, and the expanded attack surface data science tools present is a prime opportunity.
In order to identify currently existing threats and help organizations improve their security posture, Aqua Nautilus extensively researched the threats targeting cloud data science tools. We found that many data tools are exposed to threats and are being actively attacked in the wild. In this article, we’ll detail the attacks on Jupyter Notebooks and other popular open-source tools that data practitioners use to analyze and manipulate data.
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