The world is changing quickly. An era is coming when highly advanced technologies – the ones that used to be perceived as science fiction – are now a real project that innovative companies are working on, such as artificial intelligence, robotics, unmanned aerial vehicles, 3D printing, nanotechnologies, biotechnologies, digital IT etc. However, all the new changes and emerging technologies have one feature in common – they are all related to digital technologies [1].

Implementation of information technologies is going at a rapid pace, causing significant competition between the companies aiming to win markets and clients across the globe. Investments are the decisive factor in an enterprise’s economic security and competitive standing, and can potentially lead to financial success [2].

In the modern business environment, activation of innovative processes at enterprises as the elements of the economic life of a region and a country overall becomes particularly important. In the short-term perspective, the companies that were not capable of understanding the importance of the continued and multi-faceted innovations will likely lose their competitive benefits [3].

The global digital development trends are demonstrating the need to learn and analyze the opportunities they offer and that can be exploited in economic security and to find new areas for innovative development of enterprise economic security system based on digital technologies.

In the modern environment, digital technologies are the most dynamic area in terms of its development [4]. Analysis of implementation and development of the advanced digital technologies for the sustainable development purposes [5] that are presented at international shows demonstrate that the obsolete security systems are being replaced with advanced technologies such as AI, machine learning, cloud computing and 5G – these are just a few technologies that will take the central spot in 2022 and onwards.

In view of this, the following trends of economic security development will come into play in the short-term perspective:

rapid implementation of video analytics and AI-based products;

development of cloud-based video surveillance;

implementation of 5G technology;

convergence of multiple systems through AIoT;

strengthening of cybersecurity, etc.

By embedding AI into end, edge and cloud scenarios, a growing number of AI-based devices being commonly used for economic security purposes. It’s likely that technologies related to AI analytics – such as AI-based forensic search, business intelligence, object detection and acess control – will drive video surveillance investments. Next year the market will likely receive a large series of AI-based products and solutions capable of accurately identifying humans and vehicles, including real-time early detection and warning, expanded analysis, data statistics, and many more.

According to Omdia’s [6] 2021 Video Surveillance & Analytics Database Report, demand for recording devices ­– especially entry-level equipment – with embedded deep learning analytics is expected to increase. The Dahua Cooper-I series XVR, for example, is the first entry-level intelligent analog video recorder and a storage device that offers AI features such as SMD (smart movement detection) Plus and AI coding.

Likewise, the Dahua Eureka Series is also composed of entry-level thermal cameras powered by AI. Designed for end-users, it’s an ideal choice for small- and medium-sized perimeter intrusion detection and early fire detection in various scenarios (such as waste disposal sites).

Cloud video surveillance continues to grow. The demand for cloud computing among organizations is expected to continue in 2022 as a result of remote working and the growing trend in digital transformation due to COVID-19. Use of cloud-based cameras and video surveillance solutions such as VSaaS (video surveillance as a service) will also grow in 2022. Due to its multiple benefits such as cost effectiveness, remote data access, secure data storage, and high reliability, it has become increasingly popular across small and medium businesses that cannot create and maintain video surveillance systems on their own. One example of an excellent VSaaS system is Dahua’s COS cloud platform, a cloud-based platform that allows users to manage on-site devices and enjoy a full range of services anytime, anywhere. It also provides installers with handy and convenient solutions, including 24x7 remote diagnostics and troubleshooting, alarm operation, cloud storage, etc.

5G is setting a path for 5G video conferencing and remote work, and is, of course, a key technology that will contribute to video conferencing and remote work in the coming years. The fast network capabilities of video connections enabled by 5G broadband technology ensure real-time sharing of images and zero-latency synchronization of audio and video, enabling efficient remote communication and collaboration.

A recent IDC study [7] demonstrates that in the nearest future employers worldwide will likely accept a hybrid work model that combines remote work and on-site work. Video conferencing, remote work solutions, and, of course, 5G, will make networks extremely fast and reliable. That will allow for a better use of such technologies as AI, IoT and machine learning for multi-party conference collaboration, as well as various innovative applications in video conferencing industry.

The convergence of multi-dimensional sensing devices and systems through the Internet of Things (IoT) is another area that will see growth in the coming year. AIoT is a combination of AI technologies and IoT infrastructure. It enables more efficient IoT operations, improves human-machine interactions and enhances data management and analytics. In other words, not only can every single element in the IoT environment operate AI individually, they can also connect to each other, and together, perform tasks in a smarter way. In recent years, the ever-growing security requirements for large-scale perimeter protection scenarios (e.g. airport, construction site, water area, etc.) has enabled the convergence of AI-powered video technology with thermal imaging and security radar. For example, a radar solution combines a video camera, thermal imagery and a security radar to achieve multi-dimensional sensing, enabling users to detect and trace any intruders, upload alarms, save evidence and many more. AIoT will also see the growing integration of such solutions as video surveillance, alarm systems, access control, and fire detection with temperature, humidity, smoke, heat and air control sensors (just to name a few) in smart flats and houses. There will be more scene-based customization solutions that integrate video AI technology with radar and other IoT technologies to solve specific issues of customers.

There is a growing dependency of cybersecurity from the number of IoT networks. The greatest cyber vulnerable category is mobile and hybrid workforce (employees working from home or remotely), cloud and data centres, and coordinated or ransomware attacks on their networks.

Therefore, learning new technologies will enable their application in economic security and define areas for innovative development of economic security based on digital technologies, as well as:

develop concepts, methods and models of economic security’s innovative development based on digital technologies;

develop recommendations for domestic enterprises to implement advanced global trends based on digital technologies related to economic security.