From Data to Defense: How AI and Machine Learning Revolutionize Cybersecurity

Authors

  • Carlos Rodriguez Pacific Rim Institute of Technology, Australia

Abstract

This paper delves into the transformative power of artificial intelligence (AI) and machine learning (ML) in bolstering cybersecurity measures. By harnessing vast amounts of data, AI algorithms can swiftly detect and analyze patterns indicative of cyber threats, empowering organizations to preemptively fortify their digital defenses. This abstract highlights the pivotal role of AI and ML in enhancing the agility and efficacy of cybersecurity operations, offering a proactive approach to safeguarding sensitive information and critical infrastructure in an increasingly complex and dynamic threat landscape.

Published

2023-04-18

How to Cite

Rodriguez, C. (2023). From Data to Defense: How AI and Machine Learning Revolutionize Cybersecurity. Journal of Engineering and Technology, 5(1). Retrieved from http://mzjournal.com/index.php/JET/article/view/105