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Navigating Security Frontiers: a Deep Dive into GPT's Impact on Vendor Risk Management

EasyChair Preprint no. 11903

7 pagesDate: January 29, 2024

Abstract

This study conducts a comprehensive exploration into the profound impact of Generative Pre-trained Transformers (GPT) on vendor risk management, offering a deep dive into the evolving landscape of cybersecurity strategies within the context of external collaborations. As organizations navigate the frontiers of security challenges posed by third-party vendors, the integration of advanced technologies like GPT emerges as a transformative approach. The research begins by contextualizing the contemporary challenges faced by organizations in securing their vendor relationships, emphasizing the dynamic nature of cyber threats and the critical need for adaptive risk management strategies.

Keyphrases: generative, pre-trained, transformer

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:11903,
  author = {Jane Smith and Patrick Evan},
  title = {Navigating Security Frontiers: a Deep Dive into GPT's Impact on Vendor Risk Management},
  howpublished = {EasyChair Preprint no. 11903},

  year = {EasyChair, 2024}}
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