Cybersecurity UX

Data Visualization Patterns for Threat Intelligence

Attack surface maps, severity heatmaps, timeline reconstructions — the visualization patterns that actually help analysts make decisions.

EB
Erin BassityFrontend Engineer
May 8, 20267 min read

There are two kinds of security charts, and confusing them is expensive. One summarizes for an executive who is calm and has time. The other informs a decision for an analyst who is neither. They demand opposite choices.

Decision charts, not decoration charts

  • Show the anomaly, not the average — the point of the chart is the thing that broke the pattern.
  • Make "now" obvious. In an incident, the right edge of the timeline is the only part anyone cares about.
  • Kill the chartjunk: gradients and 3D bars cost legibility you cannot afford under pressure.
During an incident, a chart has one job: shorten the time between seeing it and knowing what to do.

Patterns that earn their place

Attack-surface maps work when they cluster by exploitability, not asset type. Severity heatmaps work when the scale is honest and one cell can dominate. Timeline reconstructions work when they read left-to-right like a story an analyst can hand to the next shift.

EB

Erin Bassity

Frontend Engineer

Erin builds data-dense security dashboards — virtualization, real-time state, and the visualization patterns that help analysts decide under pressure.

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