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Due to the rapid development of technology, cybersecurity must keep pace with the pace of growth to maintain a high level of warning and rapid removal of threats. One of the most promising approaches in this area and the field of information technology, in general, is artificial intelligence. AI is the property of intelligent systems to perform functions that were usually considered the prerogative of humans (Haenlein & Kaplan, 2019).
The use of AI in cybersecurity is considered a relatively recent innovation, which, nevertheless, annually increases its share in this market several times, radically changing the traditional approaches to organizing security. The use of AI is regulated by a large amount of documentation, which should take into account the current legislation in the country of use and ethical issues related to AI, many of which have not yet been resolved.
Both the private and public sectors are consistently interested in AI, but they are faced with a stereotype of mistrust in AI. Certification procedures regulate these issues, and given the international popularity of this approach, integration experience is being developed rather quickly. Nevertheless, AI still requires human control, which is gradually developing the idea of “reliable AI,” the definitive version of which is in the design stage (Taddeo et al., 2019). Another argument that claims the danger of AI is its use in cyberattacks or for other personal purposes. In addition, the internal or built-in security of the AI itself is most often provided by other programs or means of protection, making the technology itself defenseless in the event of an attack.
Regardless, machine learning and AI systems capable of learning on their own are highly promising approaches for many business sectors. AI learning and self-learning take place on billions of objects, often unstructured, which can provide security against cyber threats (Chan et al., 2019). In addition, advances in the speed of response to hazards allow AI to determine a problem tens of times faster than a human, and logical analysis makes it possible to cope with most typical ones (Daraj et al., 2019). In addition, most advanced developments provide companies with a ready-made risk analysis and in-depth analytics on many issues, reducing the time and money for attracting human resources.
Using simulation is prevalent in cybersecurity since artificial intelligence trains on a simulated situation using machine learning in cases of typical attacks. The creative moment of a well-designed AI helps in assessing any situation, showing its possible danger. At this stage of the development of AI, intelligent control and assessment by humans are still fully required to prevent security breaches due to the imperfection of AI (Sarker et al., 2021). However, significant financial investments and the race for qualified researchers in this field make it very obvious to predict that innovations and bringing existing developments to a new level will not belong in coming.
The problem of mistrust is already being eliminated thanks to the social implementation of AI – in electric vehicles, in many services of contextual prompts and recommendation systems, in the form of virtual and voice assistants of smartphones and computers, and much more. In my opinion, if cybersecurity researchers develop proactive protection algorithms, then automation of processes using artificial intelligence will capture all possible business industries that can afford to use the new technology. In a pandemic, when the number of personal contacts has decreased, and even most commerce has moved online, cybersecurity is more relevant than ever in the protection of transactions, e-commerce, and the preservation of personal data.
References
Chan, L., Morgan, I., Simon, H., Alshabanat, F., Ober, D., Gentry, J. & Cao, R. (2019). Survey of AI in cybersecurity for information technology management. In 2019 IEEE technology & engineering management conference (TEMSCON) (pp. 1-8). IEEE.
Darraj, E., Sample, C., & Justice, C. (2019). Artificial intelligence cybersecurity framework: Preparing for the here and now with ai. In ECCWS 2019 18th European Conference on Cyber Warfare and Security (p. 132). Academic Conferences and publishing limited.
Haenlein, M., & Kaplan, A. (2019). A brief history of artificial intelligence: On the past, present, and future of artificial intelligence. California Management Review, 61(4), 5-14.
Sarker, I. H., Furhad, M. H., & Nowrozy, R. (2021). Ai-driven cybersecurity: An overview, security intelligence modeling and research directions. SN Computer Science, 2(3), 1-18.
Taddeo, M., McCutcheon, T., & Floridi, L. (2019). Trusting artificial intelligence in cybersecurity is a double-edged sword. Nature Machine Intelligence, 1(12), 557-560.
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