We investigate the use of an Agent-based framework to identify and quantify the relationship between security and efficiency within airport terminals. In this framework, we define a novel Security Risk Assessment methodology that explicitly models attacker and defender behavior in a security scenario. It produces a security risk vector, quantifying the risks to the airport terminal. Efficiency is calculated in the same model using so-called key efficiency indicators. By using this framework, we aim to find and quantify factors that influence both security and efficiency in airport terminals. These factors can then be used to enable informed multiobjective decision making by airport management.