Special report: Securing infrastructure
UNT is putting “security” at the top of its education offerings. From cybersecurity engineering to logistics modeling and predictive analytics to digital forensics, UNT offers students and business access to leading-edge technologies and labs.
Any discussion of infrastructure in the 21st century must include security. The assessment must include safety evaluation of both physical and digital infrastructure. And when discussing “infrastructure,” all public and private physical assets must be examined — oil and gas pipelines to water pipes, roads and bridges to public gathering spaces. Digital infrastructure touches all of these physical assets, as well as direct data assets. Digital infrastructure encompasses the electronic management of virtually all physical assets, as well as “cyber” and the much discussed, growing concerns related to cybersecurity.
Not only is security a basic need and requirement of people and companies, it is a primary determinant in today’s world for location, or relocation — personal and corporate. Safe water matters. Safe data matters. Safe roads and bridges matter. Infrastructure security is critical to decision- making. It is becoming increasingly clear that there is a serious determination to organize and execute upon large “infrastructure improvement” projects throughout the U.S. At a time when technology presents so many solutions, it is important to keep “security” top-of mind, and that it be embedded in project planning infrastructure security cannot be an afterthought.
Regardless of the idea, asset or investment, it is becoming increasingly difficult to keep up with technology — this is more than evident in the sphere of security. And time that is disappearing with the pace of technology development. It is therefore incumbent upon those who must provide security — for humans or business assets — that new methodologies be employed for the purposes of predictive planning. Predictive planning requires predictive modeling and analytics. Business has been using these tools with increasing success over the last few years. There is no better, more critical area for use of predictive modeling than security.
The onslaught of security issues — known and mostly unknown — must give rise to an increased amount of predictive planning and digital forensics to keep up with the pace of technology.
The future is now — as it relates to the deployment of infrastructure security solutions, and the creation of predictive modeling and related analytics that work to predict future issues. When infrastructure quite literally “supports” the world’s people and economy, it is critically important that infrastructure security be front and center.