Exploring Zero Trust Architecture in Interview Bots: Mechanisms and Challenges

As organizations have become increasingly dependent on interview bots for recruitment processes, there is a necessity for robust security measures for protecting sensitive information of the candidates and maintaining the integrity of the recruitment processes. This paper discusses the implementation of Zero Trust Architecture in interview bots, highlighting a paradigm shift from conventional perimeter-based security approach to a robust and identity focused model. This method of approach uses principles like least privileged access, constant authentication and precise policy enforcement to ensure that the interaction with the bot is done only by authorized entities to reduce the risk of data breaches and other threats by securing communication channels. The case study that follows will provide an example of how ZTA will further enhance security posture for interview bots and provide a framework to protect recruitment processes for organizations from the increasingly digital and threat-prone environments. Our contributions, therefore, note an in-depth analysis underline some best practice recommendations.