As organizations increasingly rely on third-party vendors for various services and products, the need for robust security measures to safeguard sensitive data has become paramount. This study delves into the application of Generative Pre-trained Transformers (GPT) in enhancing third-party vendor security. GPT, a state-of-the-art natural language processing model, offers a versatile framework for addressing security challenges through advanced language understanding and generation capabilities. The research begins by providing an overview of the current landscape of third-party vendor relationships and the associated security risks. By examining recent security incidents and breaches stemming from vendor interactions, the study highlights the urgency of adopting innovative solutions to fortify cybersecurity defenses.
A Comprehensive Analysis of GPT Applications in Third-Party Vendor Security Enhancement
Publication Information
Journal Title: Asian Journal of Multidisciplinary Research & Review
Author(s): Sakthiswaran Rangaraju
Published On: 30/12/2023
Volume: 4
Issue: 6
First Page: 105
Last Page: 115
ISSN: 2582-8088
Publisher: The Law Brigade Publisher
Cite this Article
Sakthiswaran Rangaraju, A Comprehensive Analysis of GPT Applications in Third-Party Vendor Security Enhancement, Volume 4 Issue 6, Asian Journal of Multidisciplinary Research & Review, 105-115, Published on 30/12/2023, Available at https://ajmrr.thelawbrigade.com/article/a-comprehensive-analysis-of-gpt-applications-in-third-party-vendor-security-enhancement/
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Sakthiswaran Rangaraju
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