32Risks for Conversational AI Security
Vivek Bhardwaj1, Safdar Sardar Khan2, Gurpreet Singh3, Sunil Patil4, Devendra Kuril5 and Sarthak Nahar6*
1School of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India
2Department of Computer Science and Engineering, Medi-Caps University, Indore, India
3Department of Computer Science and Engineering, Lovely Professional University, Jalandhar, Punjab, India
4Department of Computer Science and Engineering, Vedica Institute of Technology, RKDF University Bhopal, Bhopal, India
5Department of Information Technology, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India
6Department of Computer Science Engineering, Shri Vaishnav Vidyapeeth Vishwavidyalaya Indore, Indore, India
Abstract
Conversational artificial intelligence (AI) systems have become increasingly popular, and their integration into various industries has grown significantly. With the advent of advanced technologies like machine learning and natural language processing, conversational AI has become capable of performing complex tasks, including processing customer requests, providing recommendations, and facilitating transactions. However, these systems are also vulnerable to various security risks that can expose sensitive data and compromise the privacy of users. This paper provides a comprehensive review of the risks associated with conversational AI security, including attacks such as phishing, malware injection, and voice cloning. The paper also discusses ...
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