Checkout Bot Defense: Behavioral Risk Scoring
Interactive 3D checkout-fraud defense simulator: plot incoming sessions in a behavioral feature space (velocity, interaction entropy, device anomaly), tune the challenge/block risk thresholds, and watch the bot-catch rate versus the human-friction rate in real time.
E-commerce checkout flows are under constant pressure from credential-stuffing bots, carding attempts and scalper scripts hiding among real shoppers. This simulator renders every incoming session as a point in a 3D behavioral feature space — request-velocity anomaly, interaction-entropy deficit and device/network anomaly — and scores it against two adjustable risk thresholds rendered as literal decision planes. Tune the bot traffic share and how well the bots mimic human behavior, then watch the bot-catch rate and human-friction rate respond live, the same trade-off real fraud and bot-management teams tune in production.
Plot incoming checkout sessions in a 3D behavioral feature space (request velocity, interaction entropy, device anomaly), tune the challenge and block risk thresholds, and watch bot-catch rate versus human friction respond live.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install