Digitalization and digital transformation representing a global phenomenon, capturing the attention in every industry, organization and society, spurring major investments to succeed. However, digitalization and thus digital transformation are no single objectives, rather they depend on the digital maturity of industrial sectors, organizations and society. With digitalization, industry, organizations and society can store, process and visualize digital data in new ways to speed up with decision making, enhance new products, productivity, services, and others. In this regard, digitalization is a digital transformation process that involves the embedment of digital technologies into all areas of industrial and organizational business as well as society activities, leading to disruptive changes compared with preceded technological waves. This can change business models and operations as well as market requirements to deliver values to customers. Furthermore, digital transformation is the way of change from a monolithic business approach to dynamic and rapidly evolving digital business forms, driving disruptive change across all industries. Given this fact, this chapter introduce in Sect. 1.1 into evolving features of digitalization with their unprecedented impact on all sectors of industry and society development today, which take advantage of digital technologies and digital data to enhance their business success. Section 1.2 focuses on challenges and obstacles in digital transformation leveraging knowledge and embedding it into businesses to enhance performance and create new value. Section 1.3 introduce into cybersecurity that apply technologies, processes, and controls to protect digital systems, networks, programs, devices and data from inherent cyber risks. In general cybersecurity aims to reduce cyber risks, for example, protecting against unauthorized exploitation of digital systems, networks, and technologies. This require at the foremost cybersecurity situational awareness, cybersecurity risk assessment and risk-management, to reach a high cybersecurity maturity level. From the practical perspective, Section 1.4 provide a guidance to cybersecure Operational Technology (OT), while Sect. 1.5 introduce in the CIA triad, a globally accepted model to gain cybersecurity in information systems. Finally, Sect. 1.6 describe why actionable knowledge in cybersecurity is still paramount and should be situational aware and sustainable in usage. This also considers Artificial Intelligence (AI) applications today. Applying AI and Machine Learning (ML) high-fidelity detection of cyber threat risk incidents and automated responses are necessary to effectively defend against today’s sophisticated cyber threat risk incidents. This measure protect organizations through monitoring, detecting, analyzing, and investigating potential cyber threat risk incidents. Section 1.7 contains comprehensive questions, followed by references for further reading.

Digitalization and Cybersecurity

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发表日期：

2026年

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Dietmar P. F. Möller

摘要

Digitalization and digital transformation representing a global phenomenon, capturing the attention in every industry, organization and society, spurring major investments to succeed. However, digitalization and thus digital transformation are no single objectives, rather they depend on the digital maturity of industrial sectors, organizations and society. With digitalization, industry, organizations and society can store, process and visualize digital data in new ways to speed up with decision making, enhance new products, productivity, services, and others. In this regard, digitalization is a digital transformation process that involves the embedment of digital technologies into all areas of industrial and organizational business as well as society activities, leading to disruptive changes compared with preceded technological waves. This can change business models and operations as well as market requirements to deliver values to customers. Furthermore, digital transformation is the way of change from a monolithic business approach to dynamic and rapidly evolving digital business forms, driving disruptive change across all industries. Given this fact, this chapter introduce in Sect. 1.1 into evolving features of digitalization with their unprecedented impact on all sectors of industry and society development today, which take advantage of digital technologies and digital data to enhance their business success. Section 1.2 focuses on challenges and obstacles in digital transformation leveraging knowledge and embedding it into businesses to enhance performance and create new value. Section 1.3 introduce into cybersecurity that apply technologies, processes, and controls to protect digital systems, networks, programs, devices and data from inherent cyber risks. In general cybersecurity aims to reduce cyber risks, for example, protecting against unauthorized exploitation of digital systems, networks, and technologies. This require at the foremost cybersecurity situational awareness, cybersecurity risk assessment and risk-management, to reach a high cybersecurity maturity level. From the practical perspective, Section 1.4 provide a guidance to cybersecure Operational Technology (OT), while Sect. 1.5 introduce in the CIA triad, a globally accepted model to gain cybersecurity in information systems. Finally, Sect. 1.6 describe why actionable knowledge in cybersecurity is still paramount and should be situational aware and sustainable in usage. This also considers Artificial Intelligence (AI) applications today. Applying AI and Machine Learning (ML) high-fidelity detection of cyber threat risk incidents and automated responses are necessary to effectively defend against today’s sophisticated cyber threat risk incidents. This measure protect organizations through monitoring, detecting, analyzing, and investigating potential cyber threat risk incidents. Section 1.7 contains comprehensive questions, followed by references for further reading.