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Littérature scientifique sur le sujet « AI revolution threats »

Auteur : Grafiati

Publié le 7 juin 2025

Mis à jour le 2 août 2025

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Articles de revues sur le sujet "AI revolution threats"

Elamin, Mustafa Osman I., and Osman M. O. Ismaiel. "The AI Revolution in Cybersecurity: Transforming Threat Detection, Defense Mechanisms, and Risk Management in the Digital Era." International Journal of Religion 6, no. 1 (2025): 228–46. https://doi.org/10.61707/1dmvn671.

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The rapid integration of Artificial Intelligence (AI) in cybersecurity has redefined traditional security protocols, providing advanced mechanisms to combat increasingly sophisticated cyber threats. This article investigates the transformative role of AI in enhancing cybersecurity by focusing on three core areas: threat detection, defence mechanisms, and risk management. The primary aim is to assess how AI technologies—specifically machine learning, deep learning, and natural language processing—can improve the detection, prevention, and mitigation of cyber threats beyond traditional methods.

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Czeczot, Grzegorz, Izabela Rojek, Dariusz Mikołajewski, and Belco Sangho. "AI in IIoT Management of Cybersecurity for Industry 4.0 and Industry 5.0 Purposes." Electronics 12, no. 18 (2023): 3800. http://dx.doi.org/10.3390/electronics12183800.

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If we look at the chronology of transitions between successive stages of industrialization, it is impossible not to notice a significant acceleration. There were 100 years between the industrial revolutions from 2.0 to 3.0, and only half a century passed from the conventional 3.0 to 4.0. Assuming that progress will inevitably continue to accelerate, and given that 2011 is the set date for the start of the fourth industrial revolution, we can expect Industry 5.0 by 2035. In recent years, Industrial Internet of Things (IIoT) applications proliferated, which include multiple network elements conn

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Denysenko, Iryna, Volodymyr Chalapko, Roman Zorkin, Petro Fivkin, and Iryna Ushno. "Spiritual security of Ukrainian society in the conditions of information warfare." Revista Amazonia Investiga 13, no. 84 (2024): 279–90. https://doi.org/10.34069/ai/2024.84.12.18.

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The essential characteristics of the spiritual security of Ukrainian society are analyzed. It is noted that spiritual security is a system-forming factor in the development of a democratic state in Ukraine in the conditions of an information war and a full-scale Russian invasion. The sources of threats and the main threats to the spiritual security of the national society caused by the information war are revealed. The value bases of the spiritual security of the Ukrainian state have been studied. Dialectical, structural-functional and comparative methods were used in the research process. The

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Aiello, Marco. "The AI Revolution and the Future of Work: Threats and Opportunities." Computer 57, no. 5 (2024): 29–34. http://dx.doi.org/10.1109/mc.2024.3374279.

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Bandukda, Zoya, Muhammad Ahmed Abid, Muhammad Talha Akhtar, Muhammad Nawaz, and Tahir Mehmood. "Pakistan’s Cyber Defense Revolution: AI & Machine Learning for Threat Mitigation." Advance Social Science Archive Journal 4, no. 1 (2025): 38–47. https://doi.org/10.55966/assaj.2025.4.1.041.

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Pakistan faces escalating cybersecurity threats, including ransomware, phishing, and state-sponsored attacks, which jeopardize businesses, government institutions, and critical infrastructure. Traditional defense mechanisms are increasingly inadequate, necessitating advanced solutions like Artificial Intelligence (AI) and Machine Learning (ML) to revolutionize cyber defense. This article explores how AI and ML enhance threat mitigation through real-time anomaly detection, behavioral analysis, and automated response systems, with specific applications in Pakistan’s financial sector, government

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Kim, Joosung, Soo Hyun Kim, and Inwhee Joe. "AI-Based RPA’s Work Automation Operation to Respond to Hacking Threats Using Collected Threat Logs." Applied Sciences 14, no. 22 (2024): 10217. http://dx.doi.org/10.3390/app142210217.

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With the rapid acceleration of the Fourth Industrial Revolution, cyber threats have become increasingly frequent and complex. However, most public and private institutions still rely heavily on manual cybersecurity operations, which often lead to delayed responses and human errors, exposing critical vulnerabilities. A particular challenge lies in the inability to efficiently integrate and automate the analysis of threat logs collected from various sources, limiting the effectiveness of threat prediction and mitigation. To address these challenges, this study proposes an AI-based RPA (Robotic P

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Yawale, Prof Pratik S. "Applications of AI." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 3931–33. http://dx.doi.org/10.22214/ijraset.2024.60822.

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Abstract: Artificial Intelligence (AI) is a revolution in computer science that will become an integral part of all modern software in the coming years and decades. This situation creates opportunities as well as threats. Artificial intelligence will be used to improve defense and cybercrime. Additionally, new cyberattack techniques have been developed to exploit specific weaknesses in intelligence technology. Artificial intelligence is a broad field of computing that enables understanding, reasoning and action. The amount of information created by humans and machines today exceeds the human a

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Saleh, Hussein Abdulkhaleq. "Securing the Future: Concise Strategies for Mitigating Security and Control Threats Accompanying the AI Revolution." Dijlah Journal 6, no. 4 (2023): 295–306. https://doi.org/10.5281/zenodo.15383073.

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Aditya, Septian Dhika, Achmad Farid Wadjdi, and Danang Rimbawa. "Enhancing Cyber Defense Capabilities through AI Technology." East Asian Journal of Multidisciplinary Research 4, no. 3 (2025): 985–1004. https://doi.org/10.55927/eajmr.v4i3.85.

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The development of cyber threats is impacting vital communications infrastructure, with a focus on 5G security, AI, and international cooperation. The purpose of this study is to analyze Enhancing Cyber Defense Capabilities through AI Technology. The research method used in this study is qualitative descriptive. The results of this study show that: First, the use of advanced AI technology in every aspect of the TNI will improve the overall security of the application. AI technology is able to detect and respond to cyber threats quickly and accurately, strengthening operational capabilities on

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Vöpel, Henning. "Die „unmenschliche“ Revolution – Künstliche Intelligenz als Schicksalstechnologie für Deutschland und Europa." Wirtschaftsdienst 103, no. 8 (2023): 513–17. http://dx.doi.org/10.2478/wd-2023-0148.

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Abstract Artificial intelligence defines a new age of technological and economic progress, but also causes disruptive effects on business models, industries, and the society in general. It is argued that in order to make AI a productive and progressive technology regulatory as well as educational requirements must first be matched. Threats and opportunities must be weighed up in advance. Given the coincidence of geo-political shift and industrial transformation, becoming a leading and competitive player in the game of AI is key for the German and European economy. In order to do so, AI must be

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Chapitres de livres sur le sujet "AI revolution threats"

Léna, Pierre. "Robotics in the Classroom: Hopes or Threats?" In Robotics, AI, and Humanity. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54173-6_9.

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AbstractArtificial intelligence implemented in a great diversity of systems, such as smartphones, computers, or robots, is progressively invading almost all aspects of life. Education is already concerned by this revolution, as are medicine or care for elderly people. Education is indeed a special case, because it is fundamentally based on the relationship, involving love and emotions as well as knowledge, between a fragile child and an adult. But teachers are becoming rare and education expensive: The Earth demography is here an economical challenge. We examine some of the various modalities

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Sengupta, Sandeep, and Subhajit Roy. "Artificial Intelligence (AI) in Cybersecurity: A Revolution in Threat Detection and Prevention." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8457-8_31.

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Kaur, Sukhjinder, Chiman Saini, Ms Ashima, and Poonam Kukana. "AI-POWERED THREAT DETECTION." In Artificial Intelligence and the Cybersecurity Revolution: Innovations and Implications. Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd., 2025. https://doi.org/10.58532/nbennuraicr5.

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The traditional signature-based measures of cybersecurity faced growing challenges due to advanced cyber threats. Cyber AI, on the other hand, aided in automating dynamic and adaptive threat mitigation frameworks that can negate both known and unknown risks in real time. This paper explores the application of machine learning (ML), deep learning (DL), and natural language processing (NLP) in the context of AI-powered threat detection in current cybersecurity infrastructures. This paper starts off by identifying gaps around conventional detection tools that relied on static heuristics and rule-

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Kumar, Dilmohan, Pushkar Kumar, Kumar Ujjwal, et al. "AI-POWERED CYBERSECURITY RISKS AND CHALLENGES." In Artificial Intelligence and the Cybersecurity Revolution: Innovations and Implications. Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd., 2025. https://doi.org/10.58532/nbennuraicr7.

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This book explores the dual-edged role of Artificial Intelligence in modern cybersecurity. While AI enhances threat detection, response times, and automation, it also introduces novel vulnerabilities and sophisticated attack vectors. Cybercriminals are now using AI for intelligent phishing, deepfakes, and automated breaches, making traditional security measures insufficient. The text delves into current AI-driven security models, real-world case studies, and the evolving nature of threats. It also highlights key challenges such as data privacy, algorithmic bias, and adversarial attacks. By cri

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Kumar, Shanty, Balwinder Singh, and Dr Anil Kumar. "THE GAMING REVOLUTION." In Key Insights from Harnessing AI, Machine Learning, and IoT for Smart Business. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2025. https://doi.org/10.58532/nbennurkich9.

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The gaming industry has undergone a revolutionary transformation, evolving from simple arcade machines to immersive virtual realities powered by artificial intelligence and cloud computing. This chapter explores the key technological advancements, market trends, and socio-cultural impacts that have shaped the modern gaming landscape. It discusses the rise of eSports, mobile gaming, and blockchain-based gaming economies while highlighting the role of augmented and virtual reality in enhancing user experiences. Additionally, the chapter examines the challenges posed by cybersecurity threats, eth

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Dhande, Kunal Ramesh. "Fourth Industrial Revolution and the Role of Cyber Security." In Advances in Hospitality, Tourism, and the Services Industry. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2715-9.ch013.

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The Fourth Industrial Revolution is reshaping travel and tourism with IoT, AI, and biometrics, enriching tourist experiences through enhanced vehicle technologies. However, heightened vehicle connectivity poses cybersecurity risks, endangering traveler safety and privacy. Effective cybersecurity strategies are essential to secure vehicle systems and sensitive data, ensuring a trustworthy tourism environment. Protection focuses on digital assets, personal information, and critical infrastructure like booking platforms and transport services. As cars integrate advanced infotainment, safeguarding

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Viji Gripsy, J., Bobby Lukose, L. Sheeba, John T. Mesia Dhas, R. Jayasree, and N. V. Brindha. "Enhancing Cybersecurity Insurance Through AI and Blockchain for Proactive Risk Management." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-1977-3.ch012.

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Artificial intelligence (AI) and blockchain technologies are bringing about a revolution in the cybersecurity insurance industry. These technologies enable sophisticated real-time threat detection, secure data exchange, and automated incident response.To transform cybersecurity insurance, the current research effort is an end-to-end system that utilizes blockchain technology and artificial intelligence. It does this by identifying threats in real-time, ensuring that data is sent securely, and automating incident response. The system makes use of an analytics layer that is driven by artificial

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Peck, Patrícia, and Lucas Arthuso. "Cybersecurity Global Clashes in the Era of AI." In The Role of Cybersecurity in the Industry 5.0 Era [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.114974.

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This article explores the human challenges on Cybersecurity Culture at the time of AI, considering diversity, internet international cybercrime organizations, the “naive behavior” of the user, and the lack of technical capacity, skills, tools, and collaboration of the authorities, in different countries. The technological revolution promoted by artificial intelligence (AI) brings with it advances and challenges, especially in the field of cybersecurity. Governments around the world are moving to regulate the ethical use of AI, as in the EU and Brazil’s draft laws. Cybersecurity can benefit fro

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Rajendran, Rajesh Kanna, S. B. Mahalakshmi, T. Mohana Priya, R. Sakkaravarthi, S. Poorana Senthilkumar, and A. Muthusamy. "AI-Powered Threat Detection and Response for Future 6G Networks." In Advances in Wireless Technologies and Telecommunication. IGI Global Scientific Publishing, 2025. https://doi.org/10.4018/979-8-3373-0568-4.ch010.

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As 6G networks come into existence, there will be ultra-low latency, high bandwidth, seamless integration of billions of devices, and a revolution of connectivity. But with these great strides, new challenges about the securing of these systems against very sophisticated cyber attacks have come up. This book discusses how AI can benefit the 6G system to detect and respond threats better. Through the utilization of AI algorithms, machine learning, and deep learning, 6G networks will autonomously identify and mitigate security risks in real time while adapting to dynamic and ever-evolving attack

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Linda, Sonal. "A State-of-the-Art Review on the Implications of ChatGPT in Educational Practices and Research." In Educational Perspectives on Digital Technologies in Modeling and Management. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2314-4.ch001.

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Chat generative pre-trained transformer (ChatGPT) has brought a great revolution in the education system. The evolution of ChatGPT is from an artificial intelligence (AI) chatbot based on natural language processing (NLP) model, reinforcement learning, and deep learning algorithms that are responsible for enhancing its capabilities of learning educational goals to help learners and educators. The incorporation of ChatGPT in education may involve some limitations, challenges, opportunities, and threats. In this chapter, the authors analyze the potential capabilities of ChatGPT in education asso

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Actes de conférences sur le sujet "AI revolution threats"

Alsalama, Ahmed M., and Mona S. Alzahrani. "Cybersecurity in Oil & Gas 4.0: A Systematic Literature Review of Challenges, Threats, and Mitigating Measures." In ADIPEC. SPE, 2024. http://dx.doi.org/10.2118/222581-ms.

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Abstract Oil & Gas 4.0 refers to the journey of the oil and gas industry toward digital transformation as part of the Fourth Industrial Revolution. Enterprises around the globe are adopting technologies such as Artificial Intelligence (AI), Machine Learning (ML), Cloud Computing, Virtual and Augmented reality to boost overall business productivity. The oil and gas industry is an essential part of the energy sector that plays a vital role in the global economy. Like most international enterprises, this sector is susceptible to cyber-attacks due to its reliance on technology and digital syst

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Caccavale, Fiammetta, Carina L. Gargalo, Krist Gernaey, and Ulrich Krühne. "To be fAIr: ethical and fair application of artificial intelligence in virtual laboratories." In SEFI 50th Annual conference of The European Society for Engineering Education. Universitat Politècnica de Catalunya, 2022. http://dx.doi.org/10.5821/conference-9788412322262.1398.

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In 1984, the film “The Terminator” predicted that a hostile Artificial Intelligence (AI) will threaten to extinguish humankind by 2029. Even though the real present is quite far from this post-apocalyptic scenario where AI rebels against its creator, a growing concern about the lack of ethical considerations in the use of AI is rapidly spreading, leading to the current “ethics crisis”. The lack of clear regulations is even more alarming considering that AI is becoming an integral part of new educational platforms. This follows the wave of digital transformation mainly induced by the Fourth Ind

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Martić, Vladan, and Milan Liješević. "BUDUĆNOST U SADAŠNJOSTI: UTICAJ VJEŠTAĈKE INTELIGENCIJE NA RAĈUNOVODSTVENU PROFESIJU." In 5. naučni skup Računovodstvena znanja kao činilac ekonomskog i društvenog napretka. Ekonomski fakultetUniverziteta u Kragujevcu, 2025. https://doi.org/10.46793/rz25.481m.

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Digital technology has become an integral part of social life and culture, changing the way we exchange information, conduct business, and perceive the world around us. The accounting profession is also becoming digitalized globally. However, is this really the case in our region? Is the accounting community following key innovations such as artificial intelligence (AI), cloud computing, XBRL, blockchain, and others? AI is emerging as a crucial tool, enabling the use of advanced machine learning algorithms that can analyze large volumes of data in real time. Combined with cloud computing, whic

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Krishnan, Shoba. "Leadership in the Age of Artificial Intelligence (AI)." In The Integration of AI and Technology in Modern Business Practices. SBS Swiss Business School, 2024. http://dx.doi.org/10.70301/conf.sbs-jabr.2024.1/1.3.

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Artificial intelligence is becoming an integral part of company strategy. AI’s capabilities are always evolving, with the focus shifting from what it can accomplish to what it cannot. Furthermore, substantially transforming in every aspect, the senior management leads from how they raise and coach, to the way they inspire teams, to the way they use AI and Human power together to achieve their goal for the firm, to the manner they drive transformation and challenge. AI promises, concern, and excitement over the wayward role it will play are running High because to its limitless breadth. One thi

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