Integrating AI-Driven Predictive Analytics in Cyber Threat Intelligence: Balancing Proactive and Reactive Strategies for Enhanced Security Posture Attacks

Authors

  • Sandra V. Kuster Department of Computer Science, University of San Marino, San Marino

Abstract

This research paper examines the integration of AI-driven predictive analytics in cyber threat intelligence, emphasizing the balance between proactive and reactive strategies. As cyber threats evolve, organizations must enhance their security posture by anticipating potential threats while effectively responding to incidents. This paper explores various predictive analytics techniques, discusses their applications in threat intelligence, and provides recommendations for organizations to optimize their security frameworks.

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Published

2024-04-18

How to Cite

Kuster, S. V. (2024). Integrating AI-Driven Predictive Analytics in Cyber Threat Intelligence: Balancing Proactive and Reactive Strategies for Enhanced Security Posture Attacks. MZ Journal of Artificial Intelligence, 1(1). Retrieved from http://mzresearch.com/index.php/MZJAI/article/view/457