Virtual AI Agents in Registration Systems: Enhancing Security and Usability Across Industries

Abstract

In this paper we analyze the use of Virtual AI Agents (VAAs) in registration systems emphasizing how they can boost security and user friendliness in various sectors. Through a secondary research approach the study compiles information from sources case studies and industry reports from respected organizations like Gartner, Forrester , IDC and PwC. The research reveals that VAAs play a role in enhancing security by detecting fraud analyzing threats in real time and integrating with multi factor authentication (MFA). Moreover, they offer usability benefits such as user interactions, lower registration errors and increased accessibility. Real life examples from finance, healthcare and online shopping highlight the advantages of using VAAs including improved customer satisfaction and operational efficiency. The paper also addresses the challenges associated with implementing VAAs, like technical constraints, privacy issues and the importance of finding a balance between automation and human supervision. Looking ahead, the discussion touches on prospects involving AI advancements, industry trends to watch out for, as well as potential areas for further research and development.This detailed examination underscores how VAAs can revolutionize registration systems while offering recommendations, for organizations considering their adoption. MethodologyThis paper employs a secondary research methodology, leveraging a comprehensive analysis of existing literature, case studies, and industry reports. The methodology encompasses several key steps to ensure a thorough and balanced examination of Virtual AI Agents (VAAs) in registration systems: 1. Literature Review: Scope and Sources: We conducted an extensive review of academic papers, journal articles, and conference proceedings published in the fields of computer science, cybersecurity, artificial intelligence, International Journal of Global Innovations and Solutions (IJGIS) • IJGIS May 2024 Virtual AI Agents in Registration Systems: Enhancing Security and Usability Across Industries 3 and human-computer interaction. Key databases such as IEEE Xplore, ACM Digital Library, Google Scholar, and PubMed were utilized to source relevant literature.Criteria for Selection: Articles were selected based on their relevance to the topic, publication date (preference given to recent publications from the last five years), and the credibility of the authors and journals. We focused on studies that addressed both the technological aspects of VAAs and their applications in registration systems. Case Studies:Selection of Case Studies: We identified and analyzed case studies from various industries where VAAs have been implemented in registration systems. These industries include finance, insurance, healthcare, ecommerce, and public services.Data Collection: Information was gathered from company reports, white papers, industry publications, and news articles. Case studies were chosen to illustrate a range of use cases, highlighting both successes and challenges in the deployment of VAAs. ...