Cyber security threats require rapid identification of imminent or potential attacks to support deterrence and protection. Thomas Friedman theorized that technology has leveled or “flattened” the global playing field that once existed. This flattening has happened as a result of what he calls the “triple convergence” of platform, process and people. However, there is a general lack of understanding about how to describe, assess the complex and dynamic nature of cyber security related information to improve overall cyber security task performance. Ever since the first computer virus traversed the Internet it has been apparent that attacks can spread rapidly across national boundaries. This paper presents research that utilize bioinformatics techniques, to forecast cyber security attacks by identifying emerging threats based on analysis of computer infection, and incursions models based on human disease models.