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All Journal International Journal of Multidisciplinary Sciences and Arts BULLET : Jurnal Multidisiplin Ilmu
Ali Raza A Khan
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing

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The Most Recent Advances and Uses of AI in Cybersecurity Muhammad Ismaeel Khan; Aftab Arif; Ali Raza A Khan
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 4 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The incorporation of modern technology into cybersecurity measures has become imperative due to the growing sophistication and frequency of cyber threats. This review delves into the most recent developments and uses of artificial intelligence (AI) in cybersecurity, emphasizing how it may improve threat detection, automate responses, and give businesses useful insights. The conversation covers the present state of artificial intelligence applications, such as automated threat intelligence, natural language processing, and machine learning, and it uses case studies from a variety of industries, including retail, healthcare, and finance, to demonstrate how effective they are. Important implementation hurdles for AI, such as data privacy difficulties, ethical concerns, and the high rate of false positives, are also covered, highlighting the necessity for enterprises to carefully manage these challenges. In terms of the future, the analysis points to several interesting avenues for AI in cybersecurity, such as enhanced automation, better predictive capabilities, and integration with cutting-edge innovations like quantum computing, block chain, and the Internet of Things (IoT). The review emphasizes how AI has the ability to completely change cybersecurity procedures and emphasizes how crucial it is to solve ethical and practical issues in order to reap the full benefits of this technology. Organizations may improve their cybersecurity posture and effectively respond to a changing threat landscape by implementing AI-driven solutions and cultivating a culture of continuous learning and adaptation.
AI's Revolutionary Role in Cyber Defense and Social Engineering Muhammad Ismaeel Khan; Aftab Arif; Ali Raza A Khan
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4752

Abstract

Creative methods of cybersecurity are required due to the growing complexity of cyber threats, especially those originating from social engineering techniques. The revolutionary role that artificial intelligence (AI) is playing in transforming cybersecurity practices is examined in this review article. It starts by looking at social engineering assaults and how AI technologies improve the ability to identify threats and take appropriate action. The study goes on to address the particular uses of AI in a number of cybersecurity fields, such as automated incident response, fraud detection, and anomaly detection. The application of AI in cybersecurity is not without difficulties, despite its many advantages. Significant challenges are presented by problems with data quality and bias, adversarial attacks, ethical issues, and resource requirements. In order to create complete cybersecurity plans, it is crucial to integrate AI with human expertise and emphasize the necessity for human oversight and collaboration. Future developments in AI technology are expected to continue, especially in the areas of machine learning algorithms and their integration with newly developed platforms like block chain and the Internet of Things (IoT). Case studies reveal how AI has been successfully implemented in businesses in a variety of industries, demonstrating how AI may enhance danger detection and reaction times. Artificial intelligence has enormous potential to improve cybersecurity protocols. In order to secure a safer digital future, organizations that adopt AI technology while addressing ethical issues and promoting a culture of continuous learning will be in a better position to manage the always changing terrain of cyber dangers.
An overview of cyber threats generated by AI Aftab Arif; Muhammad Ismaeel Khan; Ali Raza A Khan
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4753

Abstract

Artificial intelligence's (AI) quick development has drastically changed cyber security by bringing in both sophisticated cyber threats and cutting-edge defenses. This research paper offers a thorough analysis of AI-generated cyber threats, including their mechanics, noteworthy case examples, and countermeasures. The report demonstrates how attackers carry out high-impact assaults, such as automated phishing, ransom ware, and misinformation campaigns, by utilizing AI tools like machine learning, natural language processing, and deep fake technologies. Important case studies highlight the necessity for enterprises to implement proactive and comprehensive security measures by illuminating the practical effects of these risks. Trends suggest that as AI-generated threats develop, they will become more sophisticated and automated due to the rise of autonomous systems that can carry out assaults without the need for human interaction. Organizations are urged to make investments in cutting-edge AI-powered security solutions, promote a cyber-security-aware culture among staff members, and create strong incident response strategies in order to address these changing issues. Enhancing collective defenses against AI-generated cyber threats requires stakeholder collaboration and information sharing, as well as frequent security assessments and adherence to ethical AI principles. This research indicates that a proactive and adaptive strategy to cyber security will be critical in guaranteeing resilience against the increasingly complex threat landscape posed by AI as enterprises traverse the intricacies of the digital era. In an interconnected world, stakeholders can cooperate to protect their assets and uphold public trust by cultivating a culture of continual development and cooperation.
Co-Authors Aftab Arif Muhammad Ismaeel Khan