Agent Based Modelling Simulations to support Security Risk Management: Active Shooter Scenario

Mitigating the impact of Active Shooter incidents is of the utmost importance. These tragic events not only claim innocent lives but also instil fear and can ultimately disrupt social fabric. The developed model seeks to support Security Experts decision making while performing the Risk Management cycle during the Assessment and Mitigations stages by using Problem-Solving Agents to simulate the threat environment and determine the threat scenario impact over the exposed resources. Based on simulation results, the model proposes and configures security measures based on their relevance for the specific threat scenario under scrutiny. The Agents behaviour during the generated simulations are similar to the behaviour observed in footages of Active Shooter Incidents and the generated security measure implementation are coherent with the Security industry best practices and recommendations emitted by post active shooter incident committee boards. The authors advocate the relevance of the use of Problem-Solving Agents to improve the tractability of Security Risk Management.