Articles

This is a comprehensive, multi-year study designed to explore proactive security technologies implemented in cloud-driven retail technology architectures. Deploying cloud technologies in the retail environment creates a need for more comprehensive and proactive security technologies that protect both the psychological estate and fiscal estate. This work contributes to cloud-driven retail research by investigating anticipatory security technologies across numerous case studies. These case studies offer best practice models for elevating proactive cybersecurity in retail environments. The academic and professional communities currently lack security information and practices that apply to the retail environment. It is anticipated that the final results of this project will have value in shaping the next set of research in cybersecurity in retail environments. Many retail organizations are restricted to reactive security operations. Advanced security technologies operate on piloted activations that require the intervention of security analysts. In actuality, basic security products and security operations are now piloted by automation and machine learning. In one case study, a retail CTO shares a forensics example using a proactive security technology aimed at both psychological estate and fiscal estate. In another case study, direct discussions provide a retail university lecturer with insight into the use of driven intelligence for inventory management. The use of card technology for a model is used as an example that can be implemented as security technology which can be offered as a service to retail organizations.