International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science | India | Volume 13 Issue 10, October 2024 | Popularity: 5.5 / 10


     

Leveraging Artificial Intelligence (AI) to Strengthen Cybersecurity

Anay Kushwaha


Abstract: This paper explores the growing significance of cybersecurity in the modern digital world as well as the growing complexity of cyberthreats. It emphasizes artificial intelligence (AI) as a significant technology that businesses may use to reduce cyberthreats. The paper explores a few AI solutions, such as risk prioritization, big data processing, pattern recognition, and threat detection and response. By enabling proactive detection and response to assaults, these solutions help businesses improve their overall security posture. The paper does, however, recognize the challenges and constraints posed by AI in cybersecurity. Adoption costs, false positive risk, vulnerability to adversarial attacks, and the requirement for human expertise are a few of these. Concerns around data privacy and ethics are also discussed in relation to the creation and application of AI. Case studies from the real world demonstrate how top businesses from a variety of industries use AI to fight cybercrime. The importance of creating a collaborative environment between humans and AI, as well as the critical role that generative AI will play in cybersecurity going forward, are highlighted in the paper's conclusion.


Keywords: Cybersecurity, Artificial Intelligence, Cyberthreats, AI Solutions, Data Privacy


Edition: Volume 13 Issue 10, October 2024


Pages: 330 - 333


DOI: https://www.doi.org/10.21275/SR24923210104



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Anay Kushwaha, "Leveraging Artificial Intelligence (AI) to Strengthen Cybersecurity", International Journal of Science and Research (IJSR), Volume 13 Issue 10, October 2024, pp. 330-333, https://www.ijsr.net/getabstract.php?paperid=SR24923210104, DOI: https://www.doi.org/10.21275/SR24923210104

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