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Guardians of Trust: Analyzing GPT's Role in Elevating Third-Party Security

EasyChair Preprint no. 11901

7 pagesDate: January 29, 2024


This study conducts a thorough analysis of the role played by Generative Pre-trained Transformers (GPT) in elevating third-party security, shedding light on the transformative impact of advanced natural language processing technologies. As organizations increasingly rely on external partnerships for diverse services, the imperative to fortify security measures within these collaborations becomes paramount. GPT, renowned for its linguistic prowess, emerges as a guardian of trust in this context. The exploration begins by framing the contemporary challenges organizations face in ensuring the security of their interactions with third-party entities. It underscores the dynamic nature of cyber threats and the necessity for innovative approaches to mitigate risks and vulnerabilities arising from external collaborations.

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:
  author = {Jane Smith and Robert Thomas},
  title = {Guardians of Trust: Analyzing GPT's Role in Elevating Third-Party Security},
  howpublished = {EasyChair Preprint no. 11901},

  year = {EasyChair, 2024}}
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