Cybersecurity has reached the point where the victims of cybercrime are far outnumbered by malicious attackers, and our means to defend lack efficacy due to bottlenecks in how we ingest, analyze, and react to the ever-growing amount of data required for cyber analysis. 

Improvements in the amount of data that can be put in front of a human will only partially and marginally provide performance improvements. We cannot continue to “add more monitors” to accommodate the increase in data, and adding more computational power has noticeable benefits but is still far inferior to the “next step” of cyber analysis innovation. 

Emerging 3D Cybersecurity Data Visualization will provide accurate interpretations of the battlespace by: 

• Lowering the barrier to entry into cybersecurity by creating a tool for the untrained to contribute to the Detection and Hunting of anomalies through an intuitive visualization language and control interface combined with a personalized Artificial Intelligence (AI)-assisted virtual training partner within a 3-dimensional (3D) virtual environment.  

• Eliminating the bottlenecks of 2D data visualizations (spreadsheets) by creating a tool focused on data immersion, human-intuitive data visualization, and manipulation while enlisting more of the human senses such as sight, sound, and touch in a 3D-surround virtual environment that takes advantage of graph database relational structure.

Immersive data visualization is key to easier adoption of cybersecurity and aims to break through cyber analyst performance. Immersive training is known to increase intuitiveness and educational receptibility. This is a new perspective and implementation within cybersecurity, where spreadsheet data structures and querying databases is the norm.

Keywords
3D, ADAPTIVE, AI, ANALYTICS, AUGMENTED AND VIRTUAL REALITY (AR/VR), CYBER, DATA, MACHINE LEARNING, SIMULATIONS, THREAT MODELING, VISUALIZATION

Additional Keywords
Detection, Hunting, Anomalies