Impact of Big Data Analytics and ChatGPT on Cybersecurity
Bigdata analytics and Artificial Intelligence technologies or platforms such as ChatGPT may be utilized to mitigate cybersecurity risks and the barriers to such adoptions are examined, proposing potential approaches to address them.
Abstract
Every day, network assaults and cyber threats get more sophisticated, and the worldwide number of attacks increases, as do the approaches and methods used to infiltrate business systems and personal devices. The options for pursuing assaults are gradually expanding, and recently such attacks have resulted in broad, severe effects and results. This study examines how Bigdata analytics and Artificial Intelligence (AI) technologies or platforms such as ChatGPT may be utilized to mitigate cybersecurity risks. When it comes to cyber hazards, ChatGPT has both a beneficial and a bad influence. It can be utilized at times to provide preventive measures, but it can also be used as a catalyst to assist complex cyber-attacks with no coding solutions. The study also looks at existing AI and data analytics technologies and how they may improve cybersecurity. The incoming AI application in ChatGPT shortcomings is also discussed in this research focusing on its pros and cons in managing cyber threats. The article focuses a heavy emphasis on security systems in order to respond to greater preventive and predictive reactions and monitoring. Finally, this study examines the barriers to such adoptions, proposing potential approaches to address them.