<p dir="ltr">Large-scale events pose significant challenges for security professionals, requiring robust and redundant, comprehensive frameworks to mitigate potential threats and ensure the safety of attendees. This dissertation presents a multifaceted approach to enhancing large-scale event security, incorporating diverse methodologies and technologies. The study examines security screening technologies, hardened cyber-physical fortifications, and modeling & simulation methods for staffing and resource allocation. Experiments were conducted on the technical evaluation of the XTRACT technology, as well as the implementation of secret shoppers to unveil security vulnerabilities. A comparative analysis was then conducted to reveal the distinguishing characteristics of each experiment and their benefit to human-tech security. Recommendations for future research encompass the application of artificial intelligence (AI) in event planning and security, highlighting the potential benefits and ethical challenges, as well as methods for improving military installation (cyber) physical defense.</p>