Authors : Shaikh Mohammad Anas; Kumbhoje M. R.

Volume/Issue : Volume 10 - 2025, Issue 7 - July

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Google Scholar : https://tinyurl.com/nhwh7w6e

Scribd : https://tinyurl.com/sykjh4tb

DOI : https://doi.org/10.38124/ijisrt/25jul703

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Abstract : Cybersecurity threats are evolving rapidly, requiring advanced and automated defense mechanisms. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as powerful tools for detecting, preventing, and mitigating cyber threats. This paper exploresthe role of AI and ML in cybersecurity, highlighting their applications in threat detection, anomaly identification, and predictive analytics. Additionally, the paper discusses the challenges and future directions of AI-driven cybersecurity solutions.

References :

1. Sommer, R., & Paxson, V. (2010). Outside the closed world: On using machine learning for network intrusion detection. IEEE Symposium on Security and Privacy, 305-316.
2. Buczak, A. L., & Guven, E. (2016). A survey of data mining and machine learning methods for cyber security intrusion detection. IEEE Communications Surveys & Tutorials, 18(2), 1153-1176.