The Role of AI in Predictive Threat Modeling for Enterprise Applications

Authors

  • Dr. Neeraj Saxena Professor MIT colleges of Management Affiliated to MIT Art Design and Technology University, pune neerajsaxena2000@gmail.com Author

Keywords:

Predictive threat modeling, Artificial Intelligence, enterprise security, machine learning, anomaly detection, vulnerability analysis, cybersecurity frameworks

Abstract

Enterprise applications are essential for modern organizations but are increasingly exposed to sophisticated cyber threats. Predictive threat modeling (PTM), powered by Artificial Intelligence (AI), is emerging as a vital strategy to enhance security frameworks by identifying vulnerabilities before they can be exploited. This paper explores the integration of AI into PTM, discussing its methodologies, tools, benefits, and challenges. A detailed review of existing frameworks, case studies, and experimental results highlights how AI improves the precision and scalability of PTM systems. Finally, the paper concludes by emphasizing the transformative potential of AI in enterprise cybersecurity and suggesting pathways for future research and implementation.  

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Published

2026-01-11

Issue

Vol. 3 No. 1 (2026): Jan-Mar 2026

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

The Role of AI in Predictive Threat Modeling for Enterprise Applications . (2026). International Journal of Cyber Security, Cloud & Engineering Research, 3(1), Jan (17-23). https://ijcscer.org/index.php/ijcscer/article/view/46