Harnessing AI for Next-Gen Cyber Defense: Machine Learning in Security

Authors

  • Katya Ivanova Ural Mountains University, Russia
  • Yuki Tanaka Ural Mountains University, Russia

Abstract

This paper delves into the transformative role of artificial intelligence (AI) in bolstering cybersecurity measures. In an era rife with increasingly sophisticated cyber threats, traditional defense mechanisms are proving inadequate. Machine learning algorithms offer a dynamic solution, capable of swiftly adapting to evolving attack vectors and identifying anomalies amidst vast datasets. This paradigm shift enables proactive threat detection and response, empowering organizations to stay ahead of adversaries. By leveraging AI-driven security frameworks, enterprises can fortify their digital infrastructure against cyber intrusions, safeguarding sensitive data and preserving operational continuity. This paper explores the symbiotic relationship between AI and cybersecurity, elucidating how innovative applications of machine learning are revolutionizing defense strategies in the digital age.

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Published

2024-03-05

Issue

Section

Articles