Original post by William Plante
1 August 2022
Security Technology, August 2022
The physical security industry is poised for a substantial transformation as emerging technologies impact the delivery of security programs and services. With the increasing use of technology, security guards will need to be trained in its use and in new techniques for responding to security threats. Additionally, professional development will help security guards stay current with best practices and regulations, ensuring they can provide high-quality services to their clients.
Never before have emerging technologies been poised to substantially impact the delivery of security programs and services on campus environments as much as they are now. The adoption of artificial intelligence (AI) and machine learning (ML) in the video management sector is just one small example of technology increasing confidence in the system’s abilities and measurably improving returns on end user investments. But that’s only the beginning. The likes of AI-driven humanoid robots and aerial drones that seamlessly integrate with physical security systems, all managed within an interoperable metaverse are just over the horizon. Augmented and virtualized reality (AR and VR) environments coupled with a multiple-domain intelligence platform will be used to support richer and more effective end-user experiences and collaboration for better security outcomes.
Successful organizations should develop use cases that align with business objectives to support a case for adopting emerging technologies.
The COVID-19 pandemic forced many enterprises to adopt work-from-home and modified workplace strategies, and it has compelled technology companies to research and pursue the development of solutions that facilitate our new ways of living and working. With such purpose-driven change, the security industry will ultimately benefit—as long as we remain dedicated to staying ahead of the curve.
However, a word of caution. The emerging technologies that are taking root in the enterprise landscape represent a once-in-a-lifetime quantum leap in value to the security industry and corporate adopters. Emerging technologies speak to the corporation’s expectations that systems, including security, will provide incremental value via usable data and information, as well as visualization, analytics, and decision-making support. Therefore, one does not simply adopt emerging security technology. Successful organizations should develop use cases that align with business objectives to support a case for adopting emerging technologies. They should do this by implementing proof-of-concept trials that demonstrate the technologies’ usefulness and other similar activities.
Artificially Intelligent Aerial Drones and Humanoid Robots
The computer scientist Cal Newport has written extensively about workplace and worker impacts of emerging technologies. In particular, he describes the division of knowledge and non-knowledge workers and notes that emerging technologies will more adversely affect non-knowledge workers. The implication for our industry is clear: Adopting drones and robots will require a new kind of organization beyond people who simply monitor physical security systems or guards that perform routine patrols. Many chief security officers are keenly aware that the security guard industry has long been experiencing a labor shortage that leaves it struggling to fill its ranks, creating service gaps—a trend that is anticipated to continue. For many organizations, security operations center (SOC) operators are primarily tasked with acting as alarm acknowledgers and dispatchers with limited analytical activity requirements. Aerial drones and robots are already deployed to both supplement and, in some instances, fill in for human guards. AI-enabled drones and robots can perform a wide range of guarding tasks in three modes: Human-operated, AI-operated, or a hybrid of both. Notably, the AI that drives drones and robots is developing an ever-increasing sophistication and capability due to machine learning and the fine tuning of the data sets that train these machines.
Metaverse Intelligence Platform
The term “metaverse” suddenly jumped to prominence when, in October 2021, CEO Mark Zuckerberg announced that Facebook would become Meta. But virtual, augmented, and mixed reality has been available in various ways long before this, primarily to video gamers and training applications. While still nascent, a metaverse interoperable security environment is not too far into the future, and its uses and benefits
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