Leveraging Generative AI for an Ethical and Adaptive Cybersecurity Framework in Enterprise Environments
Abstract
Technological advancements have made it imperative for enterprises to spend billions of dollars to build in-house technologies that can offer better services, maintain competitiveness in the market, and offer efficient solutions. Among the key milestones in this field, it is possible to distinguish the creation and implementation of Generative Artificial Intelligence (Gen AI). Even though many enterprises have not advanced far with Gen AI, the possibility of combining it with service delivery and improving efficiency is apparent. However, with this potential comes the challenge of cybersecurity, a complex and ever-shifting threat to organizations in all sectors. These sophisticated technologies, such as generative AI, must be embraced for enterprises to adapt to the dynamic threat landscape and effectively protect themselves. The following paper illustrates how enterprises may leverage Gen AI to create an adaptive security policy that defends against threats and situates them best in future cyber threats.
Keywords
Information Security Policy, Cyber Threats, Generative AI
Citations
IRE Journals:
Eliel Kundai Zhuwankinyu , Tamuka Mavenge Moyo , Munashe Naphtali Mupa
"Leveraging Generative AI for an Ethical and Adaptive Cybersecurity Framework in Enterprise Environments" Iconic Research And Engineering Journals Volume 8 Issue 6 2024 Page 654-675
IEEE:
Eliel Kundai Zhuwankinyu , Tamuka Mavenge Moyo , Munashe Naphtali Mupa
"Leveraging Generative AI for an Ethical and Adaptive Cybersecurity Framework in Enterprise Environments" Iconic Research And Engineering Journals, 8(6)
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