Leveraging Artificial Intelligence for Enhanced Cybersecurity: Threat Detection and Prevention Strategies
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Abstract
As cyber threats grow in complexity and frequency, traditional security measures are increasingly inadequate for safeguarding digital assets. Artificial intelligence (AI) offers a transformative approach to enhancing cybersecurity through its ability to detect, analyze, and prevent threats in real-time. the integration of AI-driven technologies in cybersecurity, focusing on their application in threat detection and prevention strategies. Key areas of discussion include the use of machine learning for identifying anomalies in network traffic, predictive analytics for anticipating potential attacks, and natural language processing for detecting phishing and social engineering attempts. the role of AI in automating responses to security incidents, thereby reducing human error and improving response times. Through an analysis of current AI applications and case studies the benefits, challenges, and future potential of AI in cybersecurity, providing insights into how organizations can leverage these advanced technologies to protect against an evolving threat landscape.
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References
Bipin Gajbhiye, Anshika Aggarwal, & Shalu Jain. (2024). Automated Security Testing in DevOps Environments Using AI and ML. International Journal for Research Publication and Seminar, 15(2), 259–271. https://doi.org/10.36676/jrps.v15.i2.1472
Harshal Wankar, & Prof. R.C. Roychaudhary. (2022). Design of a Blockchain Based Security Model For IPV6 Addressing Communication. International Journal for Research Publication and Seminar, 13(2), 223–228. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/594
Singh, S. (2017). Study of Security in Cloud computing. Universal Research Reports, 4(1), 22–30. Retrieved from https://urr.shodhsagar.com/index.php/j/article/view/25
Bansal, P. (2021). A Review of Intrusion Detection System And Security Of Multimedia Data. International Journal for Research Publication and Seminar, 12(2), 108–112. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/129
Bipin Gajbhiye, Anshika Aggarwal, & DR. Punit Goel. (2023). Security Automation in Application Development Using Robotic Process Automation (RPA). Universal Research Reports, 10(3), 167–180. https://doi.org/10.36676/urr.v10.i3.1331
Malik, N. (2018). INTEGRATION OF SECURITY MECHANISM IN CLOUD BASED EWALLET. Universal Research Reports, 5(3), 14–20. Retrieved from https://urr.shodhsagar.com/index.php/j/article/view/641
Nancy. (2018). BOOSTING SECURITY OF NETWORK USING PICTURE KEY ENCRYPTION. Universal Research Reports, 5(1), 96–101. Retrieved from https://urr.shodhsagar.com/index.php/j/article/view/491