Author(s)

Vikas Dangi

Affiliation(s)

Janardan Rai Nagar Rajasthan Vidyapeeth, Udaipur, Rajasthan, India.

Corresponding Author

Vikas Dangi

ABSTRACT

This research paper delves into the transformative influence of Artificial Intelligence (AI) on the landscape of cybersecurity. As AI technologies advance, their integration into cybersecurity frameworks promises enhanced defense mechanisms, yet it also brings forth unprecedented challenges. This paper aims to explore the future frontiers where AI and cybersecurity intersect, emphasizing the evolving dynamics, implications, and strategies for a secure digital future. The rapidly evolving landscape of cybersecurity has necessitated innovative approaches to combat sophisticated threats. This research delves deep into the intersection of Artificial Intelligence (AI) and cybersecurity, analyzing its historical evolution, current applications, and future frontiers. As AI technologies like machine learning, deep learning, and natural language processing continue to advance, their integration into cybersecurity frameworks promises enhanced threat detection, rapid incident response, and improved resilience against evolving cyber threats. However, this confluence also introduces ethical and security concerns, including data privacy issues and the potential for AI-driven cyber-attacks. Through case studies on AI-powered cybersecurity solutions in organizations and instances of AI-driven breaches, this study provides insights into lessons learned and best practices. Recommendations are proposed for effective AI integration, policy governance, skill development, and future research avenues. This comprehensive analysis underscores the transformative potential of AI in shaping the future of cybersecurity while emphasizing the imperative for responsible and strategic deployment.

KEYWORDS

Artificial Intelligence; Cybersecurity; Cyber Attacks

CITE THIS PAPER

Vikas Dangi. Future frontiers: Artificial intelligence's influence on cybersecurity dynamics. Journal of Computer Science and Electrical Engineering. 2024, 6(4): 7-13. DOI: 10.61784/jcsee3016.

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