Investigating the Applications of Artificial Intelligence in Cybersecurity

Tirumala Ashish Kumar Manne

Abstract: The rapid evolution of cyber threats necessitates the integration of advanced technologies to enhance security measures. Artificial Intelligence (AI) has emerged as a critical tool in cybersecurity, offering capabilities that extend beyond traditional security frameworks. The applications of AI in cybersecurity, focusing on its role in real-time threat detection, automated incident response, intrusion prevention, and risk assessment. AI-driven techniques such as machine learning, deep learning, and natural language processing (NLP) empower organizations to proactively identify and mitigate cyber threats with greater accuracy and efficiency. AI in cybersecurity presents challenges, including adversarial AI attacks, data privacy concerns, and ethical considerations related to bias and explainability. The study explores these limitations while presenting comparative analyses of AI-enhanced security frameworks. Emerging trends such as federated learning, quantum AI for encryption, and AI-driven security automation are examined to highlight future research directions. By synthesizing recent advancements and case studies, this paper provides insights into AI?s transformative impact on cybersecurity. The findings emphasize the need for responsible AI deployment, regulatory compliance, and human-AI collaboration to fortify cyber defenses.

Keywords: Adversarial AI Attacks, Automated Incident Response, Intrusion Detection Systems (IDS), Cyber Threat Intelligence, Cloud Security

How to Cite?: Tirumala Ashish Kumar Manne, "Investigating the Applications of Artificial Intelligence in Cybersecurity", Volume 13 Issue 1, January 2024, International Journal of Science and Research (IJSR), Pages: 1859-1864, https://www.ijsr.net/getabstract.php?paperid=SR24107113825, DOI: https://dx.doi.org/10.21275/SR24107113825