Conversational Artificial Intelligence

3Conversational AI: Security Features, Applications, and Future Scope at Cloud Platform

Ahmad Mateen Buttar^1*, Faisal Shahzad² and Uzma Jamil³

¹University of Agriculture Faisalabad, Faisalabad, Pakistan

²University of Agriculture, Faisalabad, Pakistan

³Government College University, Faisalabad, Pakistan

Abstract

Cloud computing is gaining popularity day by day due to its features like stability, ease of manageability, and flexibility, but at the same time, there are serious concerns about the security of data. It sparked the development of brand-new IOT and AI-based business models and hastened technology adoption. IOT devices and big data not only increased the volume of data but also enhanced the complexity, leading to being more prone to hacking and privacy compromises. More smart and intelligent models need to be introduced to handle these security issues; this is where AI comes in. Conversational AI technologies like chatbots and virtual assistants use big data, machine learning, and natural language processing to simulate human interaction. They understand speech and text inputs and translate them into several languages. Data collecting is necessary for conversational AI to reply to user inquiries. The method is prone to privacy and security breaches. Security measures are required at three levels, i.e., data storage, processing, and transmission. Traditional device centric security systems are not sufficient and need to evolve to data-centric protection solutions, in ...