A COMPREHENSIVE ANALYSIS OF GPT APPLICATIONS IN THIRD-PARTY VENDOR SECURITY ENHANCEMENT
Keywords:
GPT (Generative Pre-trained Transformer), Third-Party Vendor SecurityAbstract
As organizations increasingly rely on third-party vendors for various services and products, the need for robust security measures to safeguard sensitive data has become paramount. This study delves into the application of Generative Pre-trained Transformers (GPT) in enhancing third-party vendor security. GPT, a state-of-the-art natural language processing model, offers a versatile framework for addressing security challenges through advanced language understanding and generation capabilities. The research begins by providing an overview of the current landscape of third-party vendor relationships and the associated security risks. By examining recent security incidents and breaches stemming from vendor interactions, the study highlights the urgency of adopting innovative solutions to fortify cybersecurity defenses.
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