1 FMS-WISDOM, Banasthali Vidyapith, Newai, Tonk - 304 022, Rajasthan.
Purpose: The purpose of this study was to examine the role of artificial intelligence (AI) in strengthening the breach detection mechanisms and addressing emerging challenges in password management (PM). Design/Methodology/Approach : The study adopted a quantitative research design and used primary data from 413 respondents from the National Capital Region, India. The partial least squares-structural equation modeling (Smart PLS-SEM) version 4.1.1.2 method was used to examine the moderating effect of AI on PM.
Findings: The study found that AI impacted password generation, automated threat detection, password reuse detection, user experience, password cracking detection, and password recovery, which led to PM. Practical
Implications: The study highlighted the need for organizations to integrate AI-enabled security solutions to proactively mitigate password-related cyber threats and data breaches. Originality/
Value: This paper contributed to the cybersecurity literature by emphasizing AI as a timely and essential solution for modern breach detection and effective PM in an evolving digital environment.
Nitin Bansal (2026). Artificial Intelligence in Breach Detection : Need of the Hour for Password Management. Indian Journal of Finance, 20(5), 77–96. https://doi.org/10.17010/ijf/2026/v20i5/175258