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In this paper we demonstrate the use of grid-based computing in revealing aspects of intrusion detection data which were difficult to reveal some years ago due to constrained computing resources. Exploiting the grids for their computing resources can rapidly turn into a tedious task, entailing solid technical knowledge about the grid. Grid application (and) frameworks are the category of tools that make the use of the grid much simplified for the scientist with interest solely on the computing resources. Mining security data is a task, we believe, that can be better served using the grid. Here, we attempt to reveal new insights in intrusion detection data, such as the well known KDDCUP'99 data set.