How to Build a Dynamic Zero-Trust Network Simulation with Graph-Based Micro-Segmentation, Adaptive Policy Engine, and Insider Threat Detection

A tutorial shows how to simulate a Zero-Trust network using graph-based micro-segmentation and a dynamic policy engine.

The system evaluates identity, device posture, MFA, and risk signals to assign trust scores and block suspicious traffic.

Simulated requests are sent through a Flask API, which can deny hostile flows and quarantine compromised entities.

The approach offers a practical way to test Zero-Trust controls, reduce lateral movement, and stop threats before they reach sensitive systems.