University of Maryland researchers apply the Gordon-Loeb Model to AI-driven cyberthreats, recommending risk-based cybersecurity budgets generally capped at 37% of expected losses. The framework lets executives update attack probabilities, potential losses and investment effectiveness as threats and conditions evolve rapidly.

The Financial Information Systems and Cybersecurity Forum examined emerging cyber fraud threats, research and policy issues, while honoring the 25th anniversary of the Gordon-Loeb Model. Faculty and experts highlighted evolving scams, data-driven insights and the model’s lasting influence on cybersecurity investment decisions.