Authors : Rajeshree Parihar

Volume/Issue : Volume 9 - 2024, Issue 11 - November

Google Scholar : https://tinyurl.com/3frhhtj6

Scribd : https://tinyurl.com/4u3w7f3e

DOI : https://doi.org/10.38124/ijisrt/24nov1610

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The rapid evolution of cyber threats has outpaced traditional security measures, prompting organizations to explore innovative solutions for threat detection and response. Artificial Intelligence (AI) has emerged as a powerful tool in enhancing cybersecurity mechanisms, offering the potential to improve the speed, accuracy, and adaptability of threat identification and mitigation. This paper investigates the role of AI in cybersecurity, focusing on its impact on threat detection, response strategies, and overall system defense. By reviewing AI's capabilities in anomaly detection, malware analysis, and automated response, the paper highlights both the advantages and challenges associated with AI adoption in cybersecurity. It concludes that while AI significantly strengthens cybersecurity measures, its integration requires addressing issues such as algorithm bias, data privacy concerns, and the potential for adversarial attacks.

Keywords : Artificial Intelligence (AI), Cybersecurity, Threat Detection, Machine Learning (ML),Deep Learning (DL),Anomaly Detection.

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