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DLP Modernization: Legacy Signatures vs Content-Aware ML

Interactive Data Loss Prevention simulator: watch a credit-card number try to leave the network in plain or obfuscated form, and compare how legacy signature-matching DLP and modern content-aware ML DLP each handle it.

Cybersecurity3DModerate60 FPS

⚙ Under the hood

A credit-card number tries to leave the network in plain or obfuscated form (digit spacing, Base64 re-encoding, homoglyph substitution) while a perimeter scanner evaluates it — toggle between legacy signature-matching DLP, which only catches the exact regex pattern, and modern content-aware ML DLP, which normalizes and decodes the payload first and still recognizes it.

Three.jsCybersecurityDLPData ProtectionMachine Learning

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install