Log in

Relevant bibliographies by topics / AI in Cybersecurity / Journal articles

To see the other types of publications on this topic, follow the link: AI in Cybersecurity.

Journal articles on the topic 'AI in Cybersecurity'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'AI in Cybersecurity.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Çakır, Ahmet Mert. "AI Driven Cybersecurity." Human Computer Interaction 8, no. 1 (2024): 119. https://doi.org/10.62802/jg7gge06.

Full text

Abstract:

The advent of Artificial Intelligence (AI) has revolutionized the field of cybersecurity by introducing advanced mechanisms for detecting, preventing, and mitigating cyber threats. This research explores the intersection of AI and cybersecurity, highlighting the transformative potential of AI-driven solutions in combating increasingly sophisticated cyberattacks. By leveraging machine learning, deep learning, and neural network algorithms, AI enhances real-time threat detection, predictive analytics, and anomaly detection across diverse digital infrastructures. This study evaluates current AI-d

APA, Harvard, Vancouver, ISO, and other styles

2

Kim, Geunhye, and Kyudong Park. "Effect of AI." Tehnički glasnik 18, no. 1 (2024): 29–36. http://dx.doi.org/10.31803/tg-20230218142012.

Full text

Abstract:

Abstract: Artificial intelligence (AI) is considered a vital factor that will fundamentally alter the cybersecurity environment. AI technology is progressing much faster than expected, and AI-based security services are being introduced into the global security market on a daily basis. However, how AI can contribute to the cybersecurity field and what changes it will bring remain unknown. Nonetheless, cybersecurity is not merely a technical issue but also a process for dealing with regulations, policies, and security risks; therefore, the introduction of AI technology introduction can make a f

APA, Harvard, Vancouver, ISO, and other styles

3

Puthal, Deepak, and Saraju Mohanty. "Cybersecurity Issues in AI." IEEE Consumer Electronics Magazine 10, no. 4 (2021): 33–35. http://dx.doi.org/10.1109/mce.2021.3066828.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Samara Simha Reddy Beesam and Suchitha Reddy Aeniga. "Bridging AI and Cybersecurity." International Journal of Science and Research Archive 14, no. 2 (2025): 1179–85. https://doi.org/10.30574/ijsra.2025.14.2.0382.

Full text

Abstract:

This has led to an entirely new era of quicker-than-extremely-quick firm AI will probably come, which in turn looms every great improvement in cybersecurity practice. Built into a security system: AI not only means that massive filing cabinets can be replaced by microfiche readers which are good enough for government work--it also adds incredible capabilities to the stored data itself. This means that although the quantities of data may soar a million billion-fold in any single category at a given point nowadays all those same numbers still do not cause a corresponding increase in different ty

APA, Harvard, Vancouver, ISO, and other styles

5

Rios-Campos, Carlos, Sonia Carmina Venegas Paz, Gonzalo Orozco Vilema, et al. "Cybersecurity and artificial intelligence (AI)." South Florida Journal of Development 5, no. 8 (2024): e4276. http://dx.doi.org/10.46932/sfjdv5n8-021.

Full text

Abstract:

The general objective of the research was to determine the advances related to the cybersecurity and artificial intelligence (AI). The specific objectives of the research are to identify the countries that invest the most in cybersecurity and the most prominent organizations in cybersecurity worldwide. Methodology, in this research, 37 documents have been selected, carried out in the period 2018 – 2024; including: scientific articles, review articles and information from websites of recognized organizations. Results, AI and cybersecurity are two very important aspects today, so it is necessary

APA, Harvard, Vancouver, ISO, and other styles

6

Shahid, Shahabuddin. "Vulnerabilities of AI in Cybersecurity." International Journal of Scientific Engineering and Research 13, no. 6 (2025): 31–32. https://doi.org/10.70729/se25604130052.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Abel Uzoka, Emmanuel Cadet, and Pascal Ugochukwu Ojukwu. "Applying artificial intelligence in Cybersecurity to enhance threat detection, response, and risk management." Computer Science & IT Research Journal 5, no. 10 (2024): 2511–38. http://dx.doi.org/10.51594/csitrj.v5i10.1677.

Full text

Abstract:

This paper explores the application of Artificial Intelligence (AI) in cybersecurity, emphasizing its potential to enhance threat detection, response, and risk management. The study's primary objective is to analyze how AI-driven tools and techniques can improve the efficiency and effectiveness of cybersecurity measures in organizations. Employing a comprehensive literature review and case study analysis, the research investigates current AI applications in threat detection, including machine learning algorithms, anomaly detection systems, and predictive analytics. The findings reveal that AI

APA, Harvard, Vancouver, ISO, and other styles

8

Rathod, Sachin Dashrath. "AI In Enhancing Cyber Security." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04063.

Full text

Abstract:

Abstract:- Artificial intelligence( AI) is a important technology that helps cybersecurity armies automate repetitive tasks, accelerate trouble discovery and response, and meliorate the delicacy of their conduct to strengthen the security posture against various security issues and cyberattacks. This composition presents a regular literature review and a detailed analysis of AI use cases for cybersecurity provisioning. The review reacted in 2395 studies, of which 236 were linked as primary. This composition classifies the linked AI use cases predicated on a NIST cybersecurity frame using a the

APA, Harvard, Vancouver, ISO, and other styles

9

Quiana Bradshaw. "Cybersecurity in Artificial Intelligence." World Journal of Advanced Research and Reviews 27, no. 1 (2025): 1735–44. https://doi.org/10.30574/wjarr.2025.27.1.2703.

Full text

Abstract:

We are currently living in an emerging technological society in today’s society. AI has grown to a level where it is being used in a variety of fields, including banking, customer service, education, and law enforcement. What are some of the risks with cybersecurity issues and artificial intelligence? What kind of impact does artificial intelligence have on cybersecurity? Are there some drawbacks and limitations when using AI for cybersecurity? When using Artificial intelligence, it has provided many profound ways to implement measures of cybersecurity. There are some ways that AI improves the

APA, Harvard, Vancouver, ISO, and other styles

10

Student, Speaker: Isaik Agudelo Watstein, and Advisor: Leon Guillermo Marin Ortega Faculty. "CYBERSECURITY WITH A SOCIAL VISION PROTECTING RIGHTS IN THE DIGITAL AGE." International Journal of Engineering Technology Research & Management (IJETRM) 09, no. 05 (2025): 302–9. https://doi.org/10.5281/zenodo.15468798.

Full text

Abstract:

Nowadays, cybersecurity goes beyond computers and focuses on safeguarding people’s dignity and individualrights. Since we rely more on digital tools and AI, cybersecurity's social, ethical, and legal sides need to beconsidered with priority. This article addresses how cybersecurity ties in with the dignity of people and cites lawssuch as Law 1273 from 2009 and Law 1581 from 2012 in the context of Colombia. In addition, it analyzes theworldwide effects of the Budapest Treaty and compares them to international efforts like the CCPA in the UnitedStates. The study highlights that AI can assi

APA, Harvard, Vancouver, ISO, and other styles

11

Mohammed, Dr Farheen. "Comprehensible AI in Cyber Security: Bridging the Trust Gap." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47167.

Full text

Abstract:

Abstract Artificial Intelligence (AI) has become a pivotal component of modern cybersecurity, supporting real-time threat detection, anomaly recognition, and automated incident response. Despite its capabilities, the black-box nature of many AI models—especially deep learning and complex machine learning algorithms—has introduced a significant trust gap between machine-generated decisions and human interpretation. Comprehensible AI has emerged as a key approach to bridging this divide by offering transparency, interpretability, and accountability within AI-driven cybersecurity systems. This pa

APA, Harvard, Vancouver, ISO, and other styles

12

Adhikari, Dipak, and Suman Thapaliya. "An Overview of AI Applications in Cybersecurity for IT Management." NPRC Journal of Multidisciplinary Research 1, no. 4 (2024): 121–33. http://dx.doi.org/10.3126/nprcjmr.v1i4.70951.

Full text

Abstract:

Background: Cybersecurity serves as a defense mechanism against unauthorized access, theft, information disclosure, and service disruptions for electronic data, networks, and computer systems. Traditional cybersecurity strategies have struggled to counter increasingly sophisticated and automated cyberattacks, necessitating the exploration of advanced solutions such as artificial intelligence (AI). Aim: This research aims to highlight the role of AI technology and systems in enhancing cybersecurity measures, addressing how AI-based solutions can defend against cyber threats and identifying the

APA, Harvard, Vancouver, ISO, and other styles

13

Michael, Katina, Roba Abbas, and George Roussos. "AI in Cybersecurity: The Paradox." IEEE Transactions on Technology and Society 4, no. 2 (2023): 104–9. http://dx.doi.org/10.1109/tts.2023.3280109.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Zaleppa, Paige, Siddharth Kaza, Blair Taylor, and Md Sajidul Islam Sajid. "Using AI Assistants in the Creation of an Academic Program of Study (PoS) in CyberAI." Journal of The Colloquium for Information Systems Security Education 12, no. 1 (2025): 6. https://doi.org/10.53735/cisse.v12i1.213.

Full text

Abstract:

Artificial Intelligence (AI) is playing an increasingly vital role in cybersecurity. As AI becomes more prevalent, cybersecurity professionals need AI skills, and academic institutions need to provide students with the opportunities to gain them. To meet this demand, the NSA National Centers of Academic Excellence in Cybersecurity (NCAE-C) program, in collaboration with the National Science Foundation (NSF), launched an initiative to outline the AI content cybersecurity academic programs need to teach their students. The initiative aims to build knowledge units (KUs) and recommend a Program of

APA, Harvard, Vancouver, ISO, and other styles

15

Kumar, Dr Naveen. "Enhancing Transparency and Trust in Cybersecurity: Developing Explainable AI Models for Threat Detection." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49406.

Full text

Abstract:

Abstract The increasing reliance on artificial intelligence (AI) in cybersecurity has significantly improved threat detection and response. However, many AI-driven Defense mechanisms function as "black boxes," making it difficult for security professionals to interpret their decisions. This lack of transparency reduces trust in AI systems and limits their adoption in critical security operations. Despite advancements in explainable AI (XAI), there is a significant research gap in applying XAI techniques specifically to cybersecurity. This study aims to bridge this gap by developing and evaluat

APA, Harvard, Vancouver, ISO, and other styles

16

Cao, Xiyu. "The application of artificial intelligence in internet security." Applied and Computational Engineering 18, no. 1 (2023): 230–35. http://dx.doi.org/10.54254/2755-2721/18/20230995.

Full text

Abstract:

The global integration of the internet has led to a significant increase in the importance of cybersecurity. Artificial Intelligence (AI) has emerged as a viable solution for enhancing cybersecurity measures. AI has the potential to improve the speed and effectiveness of detecting and responding to cyber threats. This study explores the intersection of network security and AI, with a focus on the various ways in which AI can be used to enhance network security, such as intrusion detection, malware detection, and behavioural analytics. The study also examines the potential risks associated with

APA, Harvard, Vancouver, ISO, and other styles

17

Nejood Abedyasir ibadi. "Innovative Strategies for Enhancing Cybersecurity in Information Systems: A Holistic Approach in Computer Engineering." Journal of Information Systems Engineering and Management 10, no. 35s (2025): 826–39. https://doi.org/10.52783/jisem.v10i35s.6151.

Full text

Abstract:

The compounded nature of cyber threats, such as ransomware, phishing, and supply chain attacks, has revealed the inadequacy of conventional security controls. AI and machine learning-based solutions offer promising improvements in near-instant threat detection and neutralization, responding to the increasing demand for adaptive cybersecurity measures.This research assesses AI-based cybersecurity models, derives security insights from historical cyber-attacks, measures the effectiveness of regulatory compliance frameworks, and formulates a multi-layered AI-based security strategy. The research

APA, Harvard, Vancouver, ISO, and other styles

18

Lee, Sangsoo. "AI-Based CYBERSECURITY: Benefits and Limitations." J-Institute 6, no. 1 (2021): 18–28. http://dx.doi.org/10.22471/ai.2021.6.1.18.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Sasikala, D., and K. Venkatesh Sharma. "Deployment of Artificial Intelligence with Bootstrapped Meta-Learning in Cyber Security." Journal of Trends in Computer Science and Smart Technology 4, no. 3 (2022): 139–52. http://dx.doi.org/10.36548/jtcsst.2022.3.003.

Full text

Abstract:

Cybersecurity is an extensive and vivacious domain in the commercial progression of the ecosphere. By up-to-date inhabitants, networking settings and assets, cybersecurity fits with the exigent task to realize the necessities of the imminent populace. Intelligent cybersecurity / intellectual smart cybersecurity has risen as a pioneering tool to deal with latest ambiguities in programmed cybersecurity enduring capability by bringing together Artificial Intelligence (AI) in Cybersecurity Computerization. The mechanism that enterprises in this cutting-edge technology handles the mechanism capabil

APA, Harvard, Vancouver, ISO, and other styles

20

Suneel Kumar Mogali. "Enhancing cybersecurity audits with AI an automated approach to risk management." World Journal of Advanced Research and Reviews 17, no. 2 (2023): 954–63. https://doi.org/10.30574/wjarr.2023.17.2.0291.

Full text

Abstract:

Integrating AI into cybersecurity practices is essential for improving and speeding up auditing processes in today's fast-paced digital world. Examining the many effects of AI automation on cybersecurity audits, this study delves into the topic. Based on the latest findings, AI has the potential to revolutionize cybersecurity by identifying potential threats early on, resolving difficulties swiftly, and equipping enterprises to face emerging cyber threats. AI-driven cybersecurity audits analyse large amounts of data in real-time using sophisticated computer programs, looking for unusual or sus

APA, Harvard, Vancouver, ISO, and other styles

21

Donepudi, Praveen Kumar. "Crossing Point of Artificial Intelligence in Cybersecurity." American Journal of Trade and Policy 2, no. 3 (2015): 121–28. http://dx.doi.org/10.18034/ajtp.v2i3.493.

Full text

Abstract:

There is a wide scope of interdisciplinary crossing points between Artificial Intelligence (AI) and Cybersecurity. On one hand, AI advancements, for example, deep learning, can be introduced into cybersecurity to develop smart models for executing malware classification and intrusion detection and threatening intelligent detecting. Then again, AI models will confront different cyber threats, which will affect their sample, learning, and decision making. Along these lines, AI models need specific cybersecurity defense and assurance advances to battle ill-disposed machine learning, preserve prot

APA, Harvard, Vancouver, ISO, and other styles

22

Han, Mingi, and Jeseong Cho. "The Impact of Generative AI Experience-Based Perception on Cybersecurity Alertness." Korean Association of Criminal Psychology 21, no. 1 (2025): 269–82. https://doi.org/10.25277/kcpr.2025.21.1.269.

Full text

Abstract:

This study empirically verified how individual characteristics and AI experience affect cybersecurity awareness. This perception was intended to identify groups where AI’s cybersecurity awareness effect is insufficient through heuristic bias and framing, and to derive complementary strategies for possible industrial technology leaks. The results showed that distrust of society was associated with lower cybersecurity awareness, while people who believed that AI experiences would empower them were more likely to be cybersecurity aware. This confirms that even when individual characteristics are

APA, Harvard, Vancouver, ISO, and other styles

23

Mallikarjuna, Paramesha, Liladhar Rane Nitin, and Rane Jayesh. "Artificial Intelligence, Machine Learning, and Deep Learning for Cybersecurity Solutions: A Review of Emerging Technologies and Applications." Partners Universal Multidisciplinary Research Journal (PUMRJ) 01, no. 02 (2024): 84–109. https://doi.org/10.5281/zenodo.12827076.

Full text

Abstract:

The increasing intricacy and advancement of online dangers have required the creation of more advanced cybersecurity methods, with artificial intelligence (AI) becoming a crucial asset in this area. This document offers an in-depth overview of the most recent developments and upcoming technologies in AI-powered cybersecurity solutions, including machine learning (ML), deep learning (DL), natural language processing (NLP), and reinforcement learning (RL). Various aspects of cybersecurity utilize these AI technologies, including threat detection, response, network security, and data protection.

APA, Harvard, Vancouver, ISO, and other styles

24

Muhammad Asif Ibrahim. "Incorporating the Future: Optimizing Cybersecurity through Seamless Integration of Artificial Intelligence." International Journal for Electronic Crime Investigation 7, no. 4 (2024): 51–60. http://dx.doi.org/10.54692/ijeci.2023.0704166.

Full text

Abstract:

Cyber-attacks are becoming more sophisticated and common in today's environment. Artificial intelligence (AI) is being used by enterprises to boost their defenses against these developing threats. AI is rapidly altering the cybersecurity field, providing several benefits in terms of improving security measures. However, its implementation causes significant changes in cybersecurity occupations and necessitates the acquisition of new skills by specialists. This article investigates the impact of AI on cybersecurity employment, presents real-world instances of AI integration in the sector, analy

APA, Harvard, Vancouver, ISO, and other styles

25

Asere, Gbenga Femi, Kehinde Adetayo Nuga, and Madu Medugu. "The Role of Artificial Intelligence in Cybersecurity: Understanding the Dynamics, Impacts, and Remediations." Journal of Computer, Software, and Program 2, no. 1 (2025): 1–9. https://doi.org/10.69739/jcsp.v2i1.120.

Full text

Abstract:

This study explores the transformative role of Artificial Intelligence (AI) in enhancing cybersecurity measures. The integration of AI into cybersecurity frameworks offers significant advancements in threat detection, prevention, and response. Leveraging machine learning algorithms and sophisticated data analytics, AI systems can analyze large datasets in real-time to identify patterns and anomalies that indicate potential security threats. This capability allows for the early detection of cyber threats that traditional security measures might miss. AI also improves threat intelligence by lear

APA, Harvard, Vancouver, ISO, and other styles

26

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.

Full text

Abstract:

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.

APA, Harvard, Vancouver, ISO, and other styles

27

Researcher. "AI IN CYBERSECURITY: ADVANCEMENTS AND CHALLENGES." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 992–1001. https://doi.org/10.5281/zenodo.13999861.

Full text

Abstract:

This article explores the transformative role of artificial intelligence (AI) in cybersecurity, highlighting its potential to revolutionize threat detection and mitigation in an increasingly sophisticated cyber threats era. It examines the rapid growth of AI adoption in the cybersecurity sector, driven by the rising costs of data breaches and the limitations of traditional security measures. The article delves into advanced AI-powered capabilities such as anomaly detection, malware identification, phishing prevention, behavioral analytics, and threat intelligence integration. While acknowledgi

APA, Harvard, Vancouver, ISO, and other styles

28

SWAPNA, S. L., and Vidya SIVALINGAM. "AI Integration and Its Impact on Cyber Defense: A Theoretical Analysis." International Journal of Information Security and Cybercrime 14, no. 1 (2025): 76–87. https://doi.org/10.19107/ijisc.2025.01.05.

Full text

Abstract:

The rapid evolution of cyber threats has made cybersecurity a critical priority for both organizations and individuals. As the complexity and frequency of these threats escalate, traditional defense mechanisms often fall short. Artificial Intelligence (AI) has emerged as a transformative force in the cybersecurity domain, offering innovative solutions to enhance threat detection, prevention, and response. This article explores the integration of AI in cybersecurity, beginning with an overview of its fundamental principles and applications. Key AI-driven solutions, such as machine learning algo

APA, Harvard, Vancouver, ISO, and other styles

29

Chigozie Kingsley Ejeofobiri, Adedoyin Adetumininu Fadare, Olalekan Olorunfemi Fagbo, Valerie Ojinika Ejiofor, and Adetutu Temitope Fabusoro. "The role of Artificial Intelligence in enhancing cybersecurity: A comprehensive review of threat detection, response, and prevention techniques." International Journal of Science and Research Archive 13, no. 2 (2024): 310–16. http://dx.doi.org/10.30574/ijsra.2024.13.2.2161.

Full text

Abstract:

As cyber threats continue to grow in scale and sophistication, traditional cybersecurity solutions have become increasingly insufficient to mitigate evolving risks. Artificial Intelligence (AI) has emerged as a powerful tool for enhancing cybersecurity by improving threat detection, automating response mechanisms, and preventing attacks before they occur. This review explores the intersection of AI and cybersecurity, focusing on AI-driven techniques in threat detection, automated response systems, and preventive measures. Furthermore, the paper discusses the challenges of deploying AI in cyber

APA, Harvard, Vancouver, ISO, and other styles

30

Marzoog Al-Mukhtar, Wijdan Noaman. "AI in Cybersecurity: Transformative Approaches to Safeguarding Information Technology Systems." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 15, no. 3 (2024): 391–412. https://doi.org/10.61841/turcomat.v15i3.14945.

Full text

Abstract:

AI in cybersecurity has significantly changed how businesses secure their IT systems against increasingly sophisticated and ever-evolving cyberattacks. AI solutions that leverage machine learning, deep learning, and data analytics analyze patterns in threat behavior to identify and predict threats, enabling immediate responses that help organizations stay ahead of emerging threats. However, this revolutionary approach also introduces several challenges related to ethics and technology, including security vulnerabilities, data quality issues, bias in AI models, and questions of responsibility a

APA, Harvard, Vancouver, ISO, and other styles

31

Sesham, Kartik and K Muddu Swamy. "THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENHANCING E-GOVERNANCE AND CYBERSECURITY IN SMART CITIES: INSIGHTS FROM STAKEHOLDERS." International Journal of Engineering Research and Science & Technology 21, no. 2 (2025): 589–98. https://doi.org/10.62643/ijerst.2025.v21.i2.pp589-598.

Full text

Abstract:

One crucial technology of the Fourth Industrial Revolution (Industry 4.0) is artificial intelligence (AI), which guards computer network systems against viruses, phishing, cyberattacks, damage, and unauthorised access. Through e-Government, AI has the ability to improve the cyber capabilities and security of nationstates, local governments, and non-state organisations. According to current research, there is a mixed link between cybersecurity, e-Government, and AI; however, this relationship is thought to be context-specific. Numerous stakeholders with diverse backgrounds and specialities in A

APA, Harvard, Vancouver, ISO, and other styles

32

Çaylı, Osman. "AI-Enhanced Cybersecurity Vulnerability-Based Prevention, Defense, and Mitigation using Generative AI." Orclever Proceedings of Research and Development 5, no. 1 (2024): 655–67. https://doi.org/10.56038/oprd.v5i1.616.

Full text

Abstract:

The rapid evolution of cyberattacks, driven by increasingly sophisticated techniques and the proliferation of readily available AI tools, presents significant challenges for organizations worldwide. Traditional cybersecurity approaches often prove insufficient in addressing the speed, adaptability, and complexity of modern threats. The VULTURE project directly tackles these challenges by proposing a revolutionary AI-powered cybersecurity platform that leverages the capabilities of generative AI (GenAI) and large language models (LLMs) to enhance vulnerability prediction, automate penetration t

APA, Harvard, Vancouver, ISO, and other styles

33

Taylor, Rodriguez Vance. "Examination of Applications of Artificial Intelligence in Cybersecurity: Strengthening National Defense with AI." International Journal of Computer Science and Information Technology Research 11, no. 3 (2023): 77–90. https://doi.org/10.5281/zenodo.8210374.

Full text

Abstract:

<strong>Abstract:</strong> The rapid advancement of technology has led to an increasing dependence on digital infrastructure for critical national defense systems. However, this dependence also exposes these systems to sophisticated cyber threats, necessitating robust cybersecurity measures. Artificial Intelligence (AI) has emerged as a promising solution for enhancing cybersecurity in the realm of national defense. This research paper explores the application of AI in cybersecurity for national defense, aiming to provide an overview of the current landscape, challenges, and potential opportun

APA, Harvard, Vancouver, ISO, and other styles

34

KUMAR, N. ARAVIND, and KADARLA NIHARIKA. "STAKEHOLDER PERSPECTIVES ON THE INFLUENCE OF ARTIFICIAL INTELLIGENCE IN E-GOVERNANCE AND CYBERSECURITY FOR SMART CITIES." International Journal of Engineering, Science and Advanced Technology 24, no. 10 (2024): 379–87. http://dx.doi.org/10.36893/ijesat.2024.v24i10.048.

Full text

Abstract:

One of the most important technologies of the Fourth Industrial Revolution (Industry 4.0) is artificial intelligence (AI), which guards computer network systems against damage, phishing, malware, cyberattacks, and unauthorised access. Through eGovernment, artificial intelligence (AI) has the potential to improve the cyber capabilities and security of states, local governments, and non-state enterprises. Research currently available shows a mixed link between cybersecurity, e-Government, and AI; however, it is thought that this relationship depends on the situation. Different stakeholders with

APA, Harvard, Vancouver, ISO, and other styles

35

Yakubova, Madinabonu. "The Legal Challenges of Regulating AI in Cybersecurity: A Comparative Analysis of Uzbekistan and Global Approaches." International Journal of Law and Policy 2, no. 7 (2024): 7–10. http://dx.doi.org/10.59022/ijlp.202.

Full text

Abstract:

This paper delves into the complex legal landscape surrounding the regulation of artificial intelligence (AI) in cybersecurity, with a particular focus on Uzbekistan's regulatory framework in comparison to global approaches. As AI technologies become increasingly integral to cybersecurity systems, they present a host of unique legal and ethical concerns that traditional legislative models are ill-equipped to address. Through a comparative analysis methodology, this study evaluates Uzbekistan's current legal stance on AI in cybersecurity against international best practices, identifying critica

APA, Harvard, Vancouver, ISO, and other styles

36

Sheetal Temara. "Harnessing the power of artificial intelligence to enhance next-generation cybersecurity." World Journal of Advanced Research and Reviews 23, no. 2 (2024): 797–811. http://dx.doi.org/10.30574/wjarr.2024.23.2.2428.

Full text

Abstract:

Cybersecurity ecosystem is an important facet in protecting sensitive information and securing critical infrastructure for countering modern cyber threats. With the increasing complexity and frequency of security incidents, there is an escalating demand for development of innovative solutions beyond current human capabilities pertaining to cybersecurity measures. Artificial Intelligence or AI can be utilized in a myriad of areas of cybersecurity. It emerged as a technological innovation to enhance cyber protection by facilitating faster and real-time threat detection for known and unknown thre

APA, Harvard, Vancouver, ISO, and other styles

37

Sheetal, Temara. "Harnessing the power of artificial intelligence to enhance next-generation cybersecurity." World Journal of Advanced Research and Reviews 23, no. 2 (2024): 797–811. https://doi.org/10.5281/zenodo.14848303.

Full text

Abstract:

Cybersecurity ecosystem is an important facet in protecting sensitive information and securing critical infrastructure for countering modern cyber threats. With the increasing complexity and frequency of security incidents, there is an escalating demand for development of innovative solutions beyond current human capabilities pertaining to cybersecurity measures. Artificial Intelligence or AI can be utilized in a myriad of areas of cybersecurity. It emerged as a technological innovation to enhance cyber protection by facilitating faster and real-time threat detection for known and unknown thre

APA, Harvard, Vancouver, ISO, and other styles

38

Ademola, ojo Emmanuel, and K. Somorin. "AI and Cybersecurity in Investigative Journalism: A Literature Review." Advances in Multidisciplinary & Scientific Research Journal Publications 10, no. 1 (2024): 9–16. http://dx.doi.org/10.22624/aims/sij/v10n1p3.

Full text

Abstract:

This literature review examines the intersection of artificial intelligence (AI) and cybersecurity in the context of investigative journalism. The use of AI technologies in investigative journalism has revolutionized the way journalists analyze data and uncover stories, while also posing new challenges in cybersecurity and the detection of deepfakes. The academic literature highlights the importance of training journalists in cybersecurity best practices, investing in AI technologies, and detecting and debunking deepfakes to safeguard the integrity of journalistic work. By integrating AI and c

APA, Harvard, Vancouver, ISO, and other styles

39

Ademola, Ojo Emmanuel, and K. Somorin. "AI and Cybersecurity in Investigative Journalism: A Literature Review." Advances in Multidisciplinary & Scientific Research Journal Publications 10, no. 1 (2024): 9–18. http://dx.doi.org/10.22624/aims/sij/v10n1p2.

Full text

Abstract:

This literature review examines the intersection of artificial intelligence (AI) and cybersecurity in the context of investigative journalism. The use of AI technologies in investigative journalism has revolutionized the way journalists analyze data and uncover stories, while also posing new challenges in cybersecurity and the detection of deepfakes. The academic literature highlights the importance of training journalists in cybersecurity best practices, investing in AI technologies, and detecting and debunking deepfakes to safeguard the integrity of journalistic work. By integrating AI and c

APA, Harvard, Vancouver, ISO, and other styles

40

Heydari, Vahid, and Kofi Nyarko. "Empowering the Next Generation: A Strategic Roadmap for AI in Cybersecurity Education." Journal of The Colloquium for Information Systems Security Education 12, no. 1 (2025): 8. https://doi.org/10.53735/cisse.v12i1.202.

Full text

Abstract:

The integration of artificial intelligence (AI) into cybersecurity is revolutionizing how institutions address increasingly complex cyber threats. As the demand for expertise in both AI and cybersecurity grows, Historically Black Colleges and Universities (HBCUs) have a unique opportunity to develop programs that equip students with the necessary skills to meet these evolving challenges. This paper presents a strategic roadmap for developing AI in Cybersecurity programs at HBCUs, emphasizing interdisciplinary collaboration, hands-on learning, adversarial defense, explainability, ethical leader

APA, Harvard, Vancouver, ISO, and other styles

41

Vishwamitra, Nishant, Ebuka Okpala, Song Liao, et al. "Enhancing AI-Centered Social Cybersecurity Education through Learning Platform Design." Journal of The Colloquium for Information Systems Security Education 12, no. 1 (2025): 9. https://doi.org/10.53735/cisse.v12i1.204.

Full text

Abstract:

Artificial Intelligence (AI) technologies have become increasingly pervasive in our daily lives. Recent breakthroughs such as large language models (LLMs) are being increasingly used globally to enhance their work methods and boost productivity. However, the advent of these technologies has also brought forth new challenges in the critical area of social cybersecurity. While AI has broadened new frontiers in addressing social issues, such as cyberharassment and cyberbullying, it has also worsened existing social issues such as the generation of hateful content, bias, and demographic prejudices

APA, Harvard, Vancouver, ISO, and other styles

42

Alanezi, Mafaz, and Ruah Mouad Alyas AL-Azzawi. "AI-Powered Cyber Threats: A Systematic Review." Mesopotamian Journal of CyberSecurity 4, no. 3 (2024): 166–88. https://doi.org/10.58496/mjcs/2024/021.

Full text

Abstract:

The joining of artificial intelligence (AI) across different areas has fundamentally improved productivity and development. Nevertheless, this progression has increased cybersecurity threats, especially those determined by AI itself. These AI-powered threats exploit the advancements intended to obtain computerized frameworks, in this manner subverting their honesty. This systematic review focuses on the intricacies of AI-driven cyber threats, which use complex AI abilities to lead to intricate and tricky cyberattacks. Our review integrates existing examinations to determine the extension, loca

APA, Harvard, Vancouver, ISO, and other styles

43

Taylor, Rodriguez Vance. "Artificial Intelligence in Cybersecurity: A Survey of National Research, Investment and Policy Implementation." International Journal of Computer Science and Information Technology Research 11, no. 2 (2023): 18–25. https://doi.org/10.5281/zenodo.7858980.

Full text

Abstract:

<strong>Abstract:</strong> As AI technology advances, so do the challenges and risks associated with cybersecurity. To address these challenges, policymakers have been developing AI policies that aim to regulate and govern the development and use of AI in various domains, including cybersecurity. In this paper, we explore the current state of AI policy and its implications for cybersecurity. This paper provides an analysis of the strengths and weaknesses of existing AI policies and an examination of their potential impact on cybersecurity. The goal of this research is to provide insights and r

APA, Harvard, Vancouver, ISO, and other styles

44

Zainan Abidin, Aida Wati, Nor Hapiza Mohd Ariffin, Zan Azma Nasruddin, Nurul Fadly Habidin, and Marina Yusoff. "Evaluating and Modelling Artificial Intelligence and Emotional Intelligence to Improve Cybersecurity Employee Ethical Competence Model." Journal of Advanced Research Design 130, no. 1 (2025): 13–25. https://doi.org/10.37934/ard.130.1.1325.

Full text

Abstract:

Implementing an ethical competency model in a cybersecurity organisation is crucial for ensuring that employees are prepared to succeed in the complex ethical terrain of cybersecurity decision-making. The model comprises an ethical framework customised for cybersecurity, highlighting moral awareness across decision-making processes. This paper explores the integration of Artificial Intelligence (AI) and Emotional Intelligence (EI) to enhance ethical competence in cybersecurity professionals, highlighting the critical need for a balanced approach to technical efficiency and ethical decision-mak

APA, Harvard, Vancouver, ISO, and other styles

45

Mohammed, Anwar. "AI in Cybersecurity: Enhancing Audits and Compliance Automation." AI in Cybersecurity: Enhancing Audits and Compliance Automation 7, no. 1 (2021): 1–10. https://doi.org/10.5281/zenodo.14760189.

Full text

Abstract:

As organizations increasingly rely on digital infrastructures, the need for robust cybersecurity measures has become paramount. Cybersecurity audits play a crucial role in identifying vulnerabilities and ensuring compliance with regulatory standards. This paper explores the integration of artificial intelligence (AI) in enhancing cybersecurity audits, focusing on automating vulnerability detection and compliance assessments. By examining current methodologies and proposing an AI-driven framework, this research highlights the benefits, challenges, and future implications of utilizing AI in cybe

APA, Harvard, Vancouver, ISO, and other styles

46

Wang, Mingzheng. "Generative AI: A New Challenge for Cybersecurity." Journal of Computer Science and Technology Studies 6, no. 2 (2024): 13–18. http://dx.doi.org/10.32996/jcsts.2024.6.2.3.

Full text

Abstract:

The rapid development of Generative Artificial Intelligence (GAI) technology has shown tremendous potential in various fields, such as image generation, text generation, and video generation, and it has been widely applied in various industries. However, GAI also brings new risks and challenges to cybersecurity. This paper analyzes the application status of GAI technology in the field of cybersecurity and discusses the risks and challenges it brings, including data security risks, scientific and technological ethics and moral challenges, Artificial Intelligence (AI) fraud, and threats from cyb

APA, Harvard, Vancouver, ISO, and other styles

47

Avaneesh, Mohapatra, and Reddy Gagan. "The implications of Artificial Intelligence (AI) on cybersecurity: A detailed review for multidomain industry." World Journal of Advanced Research and Reviews 23, no. 2 (2024): 1926–37. https://doi.org/10.5281/zenodo.14868896.

Full text

Abstract:

Cyber threats are becoming increasingly complicated and diverse, posing serious risks to individuals, businesses, and organizations in the cybersecurity sector. The cybersecurity industry needs to change to combat these new dangers as cybercriminals are always coming up with new ways to get past protections. This paper investigates how artificial intelligence (AI) may both simplify and improve cybersecurity efforts. AI has transformed the industry by offering cutting-edge defensive technologies, but it also gives cybercriminals new tools at their disposal to automate and enhance their hacking

APA, Harvard, Vancouver, ISO, and other styles

48

Siva, Kumar Mamillapalli. "Adversarial and Offensive AI in Cyber Security." International Journal on Science and Technology 15, no. 4 (2024): 1–7. https://doi.org/10.5281/zenodo.14866278.

Full text

Abstract:

As Artificial Intelligence (AI) continues to advance swiftly and integrates into various domains, cybersecurity becomes increasingly crucial for navigating both the benefits and pitfalls of AI technologies. This paper explores how adversarial and offensive artificial intelligence (AI) techniques affect cybersecurity defense methods. The research offers important insights from analyzing recent cyber-attacks that use adversarial AI, showing a marked rise in the complexity of these threats when compared to traditional security frameworks. Key results indicate that older cybersecurity defenses are

APA, Harvard, Vancouver, ISO, and other styles

49

Aniruddha, Pathak*. "Dual-Edge Evolution: A Comprehensive Analysis of Artificial Intelligence's Impact on Modern Cybersecurity Defence Systems and Emerging Threats." International Journal of Scientific Research and Technology 2, no. 4 (2025): 276–83. https://doi.org/10.5281/zenodo.15204168.

Full text

Abstract:

This comprehensive study explores the transformative role of Artificial Intelligence (AI) in modern cybersecurity, examining both its defensive capabilities and potential vulnerabilities. The research investigates the dual nature of AI in cybersecurity, where it serves as both a powerful defense mechanism and a tool that can be exploited for sophisticated cyber attacks. Through analysis of current implementations and emerging trends, the study reveals how AI-powered systems are revolutionizing threat detection, response mechanisms, and predictive security measures. The investigation demonstrat

APA, Harvard, Vancouver, ISO, and other styles

50

Yadav, Dr Neha. "AI in Cybersecurity: A Literature review." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03378.

Full text

Abstract:

Abstract - In cybersecurity, artificial intelligence is revolutionizing incident response, risk management, and threat identification in a progressively hostile cyber threat landscape. This research presents a thorough literature review on AI in cybersecurity, focusing on both aspects of the balance sheet. This paper discusses how AI-driven technologies like machine learning, deep learning, natural language processing, and expert systems improve security frameworks through predictive analytics, real-time threat intelligence, and anomaly detection. The research explores various uses of AI such

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!