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Cybersecurity
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A Global Attack Visualization Dashboard — Real Data, Real Time, Real Traffic

Key Outcome
demo close rate vs standard presentation
Team
8 engineers
Timeline
10 weeks
Industry
Cybersecurity
01The Situation

A cybersecurity company that needed a live visualization of actual attack traffic their sensors were observing across their client base and honeypot infrastructure. The visualization had two audiences: their SOC analysts needed it as an operational tool, and their sales team needed it as a demonstration of capability.

02What Changed

Their existing visualization was a static map with dots. It updated every 15 minutes from a batch process. It looked like a PowerPoint slide, not a live intelligence feed. Their competitors had flashy real-time visualizations but those were widely known to be dramatized. They wanted something that was both visually compelling AND technically honest.

03Why The Algorithm

They needed frontend engineers who could build high-performance real-time visualizations AND backend engineers who could pipe live network intelligence data into them.

04What We Built

Global real-time attack visualization dashboard. Live data pipeline from threat intelligence sensors, honeypots, and client environment telemetry. Geographic source-destination mapping of observed attack traffic with ASN attribution. Attack type classification rendered in real time — credential stuffing, port scanning, DDoS, exploit attempts — color-coded and filterable. Time-series overlays showing attack volume trends. Drill-down to packet-level detail, IOC attribution, and MITRE ATT&CK technique classification. Dual-mode: full-screen for executive briefings, compact operational mode for SOC analyst workflow.

05 — The Result

The dashboard became the company's most effective sales tool — prospects who saw live attack traffic hitting networks in their industry during the demo signed at 3× the rate of standard presentations. SOC analysts used it as an operational overview — spotting coordinated attack patterns across client environments that weren't visible in individual alert queues. And it was real. Every arc on the map was a real observed event.

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