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Traditional AI relies on historical patterns, leaving you vulnerable to Zero-Day attacks.
Cyber-Physics introduces a new paradigm: Differential Physics Defense.It treats data streams as physical objects with Mass and Momentum. If a request moves 'too fast' or carries 'too much energy', it's blocked instantly (O(1) complexity) — even if it's never been seen before.
Features: 100% Offline (GDPR/Sovereignty compliant). Millisecond response time. Plug-and-play with Splunk, QRadar, and EDRs.

Cyber-PhysicsFirst Kinetic Defense Engine to Stop Zero-DayAttacks offline
Munther Kzleft a comment
Changing the paradigm from "Pattern Matching" to "Kinetic Defense". Hello Hunters! 👋, I’m Munther, a Cyber-Defense Architect based in Iraq. I built Cyber-Physics out of frustration. Traditional AI security tools require massive datasets, weeks of training, and constant cloud connectivity—yet they still fail against Zero-Day attacks. I asked myself: "What if we treated cyber attacks as physical...

Cyber-PhysicsFirst Kinetic Defense Engine to Stop Zero-DayAttacks offline
