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The security industry has introduced a great degree of automation with automatic processing and security analytics of big data. However, in most cases, human intervention is still required to fully understand the story behind complex, interrelated security events and make proper decisions about responding to security threats.
During the human analysis stage, highly detailed security information, often of complex multi-dimensional nature, must be conveyed to the analyst in an understandable manner. However, even with the most sophisticated data visualization tools on the market, there is still a painful gap between the precious intelligence embodied in security data and the insights analysts can extract from it. This gap prevents exploiting available data to the fullest extent possible.
Virtual Reality (VR) has been an active research area for a while, but only recently have major advances been made in both the quality and availability of this technology. It’s clear that VR methods provide additional visualization capabilities over traditional user interface tools. But they also provide much more intuitive responses to human input, well beyond that of normal computer screens.
We’re investigating how new VR techniques might be used to bridge the information gap described above and efficiently convey complex security information to the user. This new approach could provide data at a higher throughput and positively affect the quality of users’ decision making. Finding a way to exploit these new techniques to help users better grasp the data available in systems would be a significant step forward.
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