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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 3 (March 2026).... Submit articles

AI-driven solutions for candidate verification: Addressing fraudulent credentials in modern recruitment

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  • AI-driven solutions for candidate verification: Addressing fraudulent credentials in modern recruitment

Srihari Babu Godleti *

Roku Inc., USA.

Review Article

World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 1924–1931

Article DOI: 10.30574/wjaets.2025.15.3.1129

DOI url: https://doi.org/10.30574/wjaets.2025.15.3.1129

Received on 10 May 2025; revised on 16 June 2025; accepted on 18 June 2025

This article examines the growing challenge of fraudulent experience profiles in the job market and explores how artificial intelligence technologies are revolutionizing candidate verification processes. As resume falsification becomes increasingly sophisticated, organizations face significant risks in their hiring decisions. The content investigates various AI applications in recruitment verification, analyzes their effectiveness, discusses ethical considerations, and explores future developments. The discussion covers AI-powered resume screening, skill assessment platforms, natural language processing in candidate screening, and digital footprint analysis, drawing parallels to cybersecurity frameworks. The article demonstrates that while AI offers powerful solutions for detecting falsified credentials, implementation must carefully balance efficiency with ethical considerations regarding privacy, bias, and candidate experience. Through a systematic review of current practices and emerging technologies, this work provides a comprehensive framework for understanding how AI transforms pre-interview candidate profiling.

AI-Driven Verification; Credential Falsification; Cybersecurity Parallels; Ethical Implementation; Recruitment Integrity

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2025-1129.pdf

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Srihari Babu Godleti. AI-driven solutions for candidate verification: Addressing fraudulent credentials in modern recruitment. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(03), 1924-1931. Article DOI: https://doi.org/10.30574/wjaets.2025.15.3.1129. 

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