Game Theory Audit & Deterrence Simulator.
Model rational frontline coping mechanisms and evasion strategies against audit inspection intensity. Solve bimatrix payoffs for pure and mixed Nash equilibria.
Mathematical equilibrium solving and bimatrix calculations run entirely inside your browser sandbox. Zero data egress.
Solve for Pure and Mixed Nash Equilibria in corporate control evasion vs continuous monitoring. Mathematical payoff bimatrix modeling frontline evasion under varying audit intensities.
Game Theory Audit & Deterrence Simulator
Solve for Pure and Mixed Nash Equilibria in corporate control evasion vs automated controls monitoring.
Payoff & Friction Calibration
Expected financial or operational gain from exploiting the gap
Severity of disciplinary, legal, or reputational sanction
Resource cost to maintain 100% continuous data pipelines
Competing Agents
Strategic Payoff Bimatrix (Player 1, Player 2)
| Sample Audits (Periodic) | 100% Continuous Monitoring (CCM) | |
|---|---|---|
| Strict Compliance | 0,10 | 0,-5 |
| Exploit Control Gap | 35,-50 | -100,35 |
Equilibrium Diagnosis
Neither player can choose a single predictable course of action without being exploited by the counterparty. A mixed strategy (randomized inspection/behavior) is mathematically required.
No stable pure equilibrium exists. The system enters an enforcement cycle: If audit tests intermittently, operators exploit (15.0% rate); to deter exploitation, audit must maintain at least a 25.9% coverage intensity.