Vulnerability State Space Visualizer, 2025

        Modern vulnerability management involves continuous monitoring of hundreds, if not thousands or tens of thousands of devices, as in cases such as industrial data centers. Industry standard software includes solutions such as Armis, which lists and ranks devices in a two-dimensional scrolling interface to display remediation preferences to cybersecurity analysts. However, as the number of devices to be monitored increases, so too does the need to simultaneously visualize more relevant device information and behavioral patterns per screen area per time. 

        A traditional scrolling 2D interface might struggle to display roughly ~30 device datapoints per screen area and an additional ~15 datapoints per second. Expanding this representation to a four-dimensional, networked, time series visualization results in thousands of datapoints per second and a roughly 600-fold increase in valuable information density per screen area per time. By networking populations of devices together, ensuring simulated random jumps in vulnerability scores are correlated between specific populations of devices, while tracking self-selected metrics, such as scaled and integrated vulnerability and criticality scores, as well as scaled network connections, representing device attack surface, this dynamic visualization can track vulnerability trends (e.g., MTTR improving as patches are applied), temporal anomalies (SCADA exposure window spikes) and cascading risks (e.g., a PDU compromise increasing SCADA risk) in real time. Therefore, an information rich, dynamic visualization helps ensure rapid identification and remediation of SLA-critical vulnerabilities and behavioral trends, to not only accelerate MTTR and simultaneously assess remediation efforts across all devices over time, but also to facilitate pattern recognition and trends so as to better predict and prepare for future vulnerabilities.

        This simulation visualizes 1,000 hypothetical devices over 40 time steps with random, networked vulnerability jumps, simulating 1-2 months of remediation efforts by a cybersecurity analyst, and automatically generates dynamic, composite prioritization scores for each. Scroll to zoom in or out, right click to rotate the visualization, and left click to move it. Note: best experienced on a desktop browser.