Enhancing Cyber Resilience: a Comprehensive Study on GPT's Contributions to Vendor Security

EasyChair Preprint no. 11899

Abstract

This study presents a comprehensive examination of how Generative Pre-trained Transformers (GPT) contribute to enhancing cyber resilience in the realm of vendor security. As organizations navigate a dynamic and interconnected business landscape, the reliance on external vendors introduces cybersecurity challenges that demand innovative solutions. Focusing on the advanced natural language processing capabilities of GPT, this research explores the multifaceted contributions of GPT to bolstering cyber resilience within vendor relationships. The analysis commences by highlighting the contemporary challenges faced by organizations in securing their vendor collaborations, emphasizing the evolving nature of cyber threats and the need for proactive cybersecurity strategies.

Keyphrases: generative, pre-trained, transformer

@Booklet{EasyChair:11899,
  author = {Jane Smith and Chen Liu},
  title = {Enhancing Cyber Resilience: a Comprehensive Study on GPT's Contributions to Vendor Security},
  howpublished = {EasyChair Preprint no. 11899},

  year = {EasyChair, 2024}}