Generative AI-Driven Threat Intelligence for Intelligent Cybersecurity Defense

Authors: Assistant Professor Singaram Navya, S.Venkateswara Rao

Abstract: The increasing frequency and sophistication of cyberattacks have created significant challenges for organizations seeking to protect their digital infrastructure and sensitive information. Conventional cybersecurity solutions often rely on predefined rules and signature-based detection methods, which may struggle to identify emerging and previously unknown threats. To overcome these limitations, this paper presents an intelligent threat intelligence framework that leverages Generative Artificial Intelligence (Generative AI) to strengthen cyber defense mechanisms and improve proactive threat detection. The proposed framework integrates deep learning models, generative techniques, and automated threat analysis to continuously monitor security events, identify abnormal behavioral patterns, and generate actionable threat intelligence in real time. By analyzing large volumes of structured and unstructured security data, the system can recognize evolving attack strategies, predict potential vulnerabilities, and support rapid decision-making for security analysts. Furthermore, the framework facilitates automated incident analysis, threat classification, and adaptive response generation, thereby reducing detection latency and improving the overall efficiency of cybersecurity operations. The performance of the proposed model is evaluated by comparing it with existing approaches, including DCGAN, WGAN, BERT, and SPADE, using performance metrics such as accuracy, false positive rate, false negative rate, and response time. Experimental observations indicate that the proposed Generative AI framework provides superior threat detection capability, faster response, and improved reliability compared with conventional methods. The proposed approach offers a scalable, intelligent, and practical solution for modern cybersecurity environments, supporting organizations in defending against continuously evolving cyber threats while enhancing the effectiveness of threat intelligence systems.

DOI: https://doi.org/10.5281/zenodo.21374077

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