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Unveiling the Power: GPT Applications for Fortifying Third-Party Vendor Security

EasyChair Preprint no. 11900

7 pagesDate: January 29, 2024

Abstract

This comprehensive analysis explores the transformative potential of Generative Pre-trained Transformers (GPT) in fortifying third-party vendor security. As organizations increasingly rely on external vendors for various services, the need for robust security measures becomes paramount. Leveraging the capabilities of GPT, this study delves into the applications and impact of this advanced technology on enhancing the security posture of third-party vendor relationships. The research investigates how GPT, with its natural language processing and understanding capabilities, can be harnessed to analyze vast amounts of textual data related to vendor interactions.

Keyphrases: Security, third party, Vendor

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:11900,
  author = {Jane Smith and Kurez Oroy},
  title = {Unveiling the Power: GPT Applications for Fortifying Third-Party Vendor Security},
  howpublished = {EasyChair Preprint no. 11900},

  year = {EasyChair, 2024}}
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