Beyond Boundaries: a Holistic Examination of GPT Applications in Third-Party Vendor Security Enhancement

EasyChair Preprint no. 11902

Abstract

This comprehensive study offers a holistic examination of the applications of Generative Pre-trained Transformers (GPT) in enhancing third-party vendor security. In a business landscape where organizations increasingly rely on external vendors for diverse services, safeguarding against potential cybersecurity risks becomes a paramount concern. Beyond traditional security measures, this research explores how GPT, with its advanced natural language processing capabilities, transcends boundaries to redefine the landscape of vendor security enhancement. The analysis commences by illuminating the contemporary challenges faced by organizations engaged in third-party collaborations, emphasizing the dynamic and evolving nature of cyber threats.

Keyphrases: generative, pre-trained, transformer

@Booklet{EasyChair:11902,
  author = {Jane Smith and Julia Anderson},
  title = {Beyond Boundaries: a Holistic Examination of GPT Applications in Third-Party Vendor Security Enhancement},
  howpublished = {EasyChair Preprint no. 11902},

  year = {EasyChair, 2024}}