Identification of AI for Predictive Analytics in Cyber Threat Intelligence Gathering

Authors

  • Hershel Patel Department of computer science, University of Malaya, Malaysia Author

Keywords:

Predictive analytics, Artificial intelligence, Cybersecurity, Threat intelligence, Machine learning, Proactive detection

Abstract

In the realm of cybersecurity, the proactive identification and mitigation of cyber threats are paramount to safeguarding digital assets and infrastructure. As cyber adversaries continue to employ sophisticated techniques and exploit vulnerabilities, there arises a pressing need for advanced predictive analytics tools to anticipate and counteract emerging threats. This paper explores the application of artificial intelligence (AI) for predictive analytics in cyber threat intelligence gathering, aiming to enhance the proactive detection and response capabilities of cybersecurity practitioners. The abstract will be completed after you confirm the initial direction and focus. Would you like to include specific aspects of AI, such as machine learning algorithms or natural language processing techniques, in the abstract? Let me know your preferences, and I'll tailor the abstract accordingly.

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Published

2026-01-20

Issue

Section

Articles

How to Cite

Identification of AI for Predictive Analytics in Cyber Threat Intelligence Gathering (Hershel Patel, Trans.). (2026). Unique Journal of Artificial Intelligence, 4(1), 11-26. https://uniquespublisher.com/index.php/UJAI/article/view/22