Current system posture, economic parameters, and network graph configuration exported for SIEM / SOAR modeling.
In traditional defense economics, discovering novel zero-day exploits required months of manual effort and cost tens of thousands of dollars per vector. When automated models collapse exploit generation costs down to fifty cents, high-frequency botnets flood attack vectors continuously, collapsing perimeter protection. In the simulator, clicking Trigger AI Attack Wave calculates infection probability against each asset vulnerability, simulating real-time lateral propagation. Enabling Zero-Trust micro-segmentation and hardware MFA cuts lateral exploit success by over seventy percent, isolating infections and preserving core database assets.