Work

AI-Driven Threat Intelligence in Security Operations Centers

Year: 2025

Type: other

Abstract: The research paper explores how Artificial Intelligence (AI), particularly Machine Learning (ML) and Natural Language Processing (NLP), enhances the performance and accuracy of Security Operations Centers (SOCs). Traditional rule-based systems are often too slow and limited to handle the growing volume and complexity of modern cyber threats. This paper presents an AI-driven framework that automates threat detection, reduces false positives, and enables proactive defense by learning from new data in real time. The study concludes that integrating AI technologies transforms SOCs from reactive systems into intelligent, adaptive, and efficient cybersecurity centers.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17512976

Author: Shahab ud deen, Shahab ud deen

Institution: University of Sahiwal

Language: English

Topic: Network Security and Intrusion Detection

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7103885913

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