Zero Trust Onboarding in HR Tech Safeguarding Applicant Tracking Systems against Deepfake Resumes and Credential Fraud
Keywords:
Zero Trust Security, Human Resources Technology, Applicant Tracking Systems, Deepfake Resumes, Credential FraudAbstract
The rapid evolution of artificial intelligence has introduced unprecedented challenges to human resources (HR) technology, particularly in safeguarding applicant tracking systems (ATS) from fraudulent activities. Among the most pressing threats are deepfake resumes and credential fraud, which exploit digital platforms to bypass traditional verification mechanisms and compromise organizational integrity. As hiring processes increasingly migrate to digital ecosystems, the risks associated with manipulated identities and fabricated qualifications demand robust, proactive security frameworks. Zero Trust, a security paradigm based on the principle of “never trust, always verify,” emerges as a critical solution for strengthening HR tech against these vulnerabilities. By embedding continuous identity validation, dynamic access controls, and risk-based authentication into the onboarding lifecycle, Zero Trust redefines how sensitive applicant data is protected and how legitimacy is ensured at every interaction point. This approach mitigates the potential for compromised talent pipelines, reputational damage, and financial losses stemming from fraudulent hiring decisions. Beyond technical resilience, Zero Trust fosters organizational trust, ensuring that recruitment processes remain transparent, secure, and aligned with ethical standards in talent acquisition. Ultimately, adopting Zero Trust in HR systems represents not only a safeguard against sophisticated cyber-enabled fraud but also a transformative step toward redefining digital trust in the future of work.
Downloads
References
Abiodun, K., Ogbuonyalu, U. O., Dzamefe, S., Vera, E. N., Oyinlola, A., &Igba, E. (2023). Exploring Cross-Border Digital Assets Flows and Central Bank Digital Currency Risks to Capital Markets Financial Stability. International Journal of Scientific Research and Modern Technology, 2(11), 32–45. https://doi.org/10.38124/ijsrmt.v2i11.447
Adeabah, D., &Owusu, A. (2023). Reputational risks in banks: A review of research themes, trends, and future directions. Journal of Economic Surveys, 37(5), 1234–1256. https://doi.org/10.1111/joes.12506
Ajayi, J. O., Omidiora, M. T., Addo, G. & Peter-Anyebe, A. C. (2019). Prosecutability of the Crime of Aggression: Another Declaration in A Treaty or an Achievable Norm? International Journal of Applied Research in Social Sciences Vol. 1(6), pp. 237-252, November, 2019.
Ajish, D. (2024). The significance of artificial intelligence in zero trust security technologies. Journal of Engineering Science and Information Technology, 4(1), 1–10. https://doi.org/10.1186/s43067-024-00155-z
Akinleye, K. E., Jinadu, S. O., Onwusi, C. N., & Raphael, favour O. (2022). Utilizing Enhanced Artificial Lift Technologies to Improve Oil Production Rates in Aging Onshore American Petroleum Fields. International Journal of Scientific Research and Modern Technology, 1(6), 1–13. https://doi.org/10.38124/ijsrmt.v1i6.802
Akinleye, K. E., Jinadu, S. O., Onwusi, C. N., Omachi, A. & Ijiga, O. M. (2023). Integrating Smart Drilling Technologies with Real-Time Logging Systems for Maximizing Horizontal Wellbore Placement Precision International Journal of Scientific Research in Science, Engineering and Technology Volume 11, Issue 4 doi : https://doi.org/10.32628/IJSRST2411429
Amebleh, J. &Okoh, O. F. (2023). Accounting for rewards aggregators under ASC 606/IFRS 15: Performance obligations, consideration payable to customers, and automated liability accruals at payments scale. Finance & Accounting Research Journal, Fair East Publishers Volume 5, Issue 12, 528-548 DOI: 10.51594/farj.v5i12.2003
Amebleh, J. &Omachi, A. (2022). Data Observability for High-Throughput Payments Pipelines: SLA Design, Anomaly Budgets, and Sequential Probability Ratio Tests for Early Incident Detection International Journal of Scientific Research in Science, Engineering and Technology Volume 9, Issue 4 576-591 doi : https://doi.org/10.32628/IJSRSET
Amebleh, J., &Okoh, O. F. (2023). Explainable Risk Controls for Digital Health Payments: SHAP-Constrained Gradient Boosting with Policy-Based Access, Audit Trails, and Chargeback Mitigation. International Journal of Scientific Research and Modern Technology, 2(4), 13–28. https://doi.org/10.38124/ijsrmt.v2i4.746
Amebleh, J., &Omachi, A. (2023). Integrating Financial Planning and Payments Data Fusion for Essbase SAP BW Cohort Profitability LTV CAC Variance Analysis. International Journal of Scientific Research and Modern Technology, 2(4), 1–12. https://doi.org/10.38124/ijsrmt.v2i4.752
Apascaritei, P., & Elvira, M. (2022). Dynamizing human resources: An integrative review of dynamic capabilities in HRM. Journal of Business Research, 139, 1–13. https://doi.org/10.1016/j.jbusres.2021.09.027
Atalor, S. I. (2019). Federated Learning Architectures for Predicting Adverse Drug Events in Oncology Without Compromising Patient Privacy ICONIC RESEARCH AND ENGINEERING JOURNALS JUN 2019 | IRE Journals | Volume 2 Issue 12 | ISSN: 2456-8880
Atalor, S. I. (2022). Blockchain-Enabled Pharmacovigilance Infrastructure for National Cancer Registries. International Journal of Scientific Research and Modern Technology, 1(1), 50–64. https://doi.org/10.38124/ijsrmt.v1i1.493
Atalor, S. I. (2022). Data-Driven Cheminformatics Models for Predicting Bioactivity of Natural Compounds in Oncology. International Journal of Scientific Research and Modern Technology, 1(1), 65–76. https://doi.org/10.38124/ijsrmt.v1i1.496
Atalor, S. I. (2024). Building a geo-analytic public health dashboard for tracking cancer drug deserts in U.S. counties, International Medical Science Research Journal Volume 4, Issue 11, Fair East Publishers DOI: 10.51594/imsrj.v4i11.1932
Atalor, S. I., Ijiga, O. M., &Enyejo, J. O. (2023). Harnessing Quantum Molecular Simulation for Accelerated Cancer Drug Screening. International Journal of Scientific Research and Modern Technology, 2(1), 1–18. https://doi.org/10.38124/ijsrmt.v2i1.502
Atalor, S. I., Raphael, F. O. &Enyejo, J. O. (2023). Wearable Biosensor Integration for Remote Chemotherapy Monitoring in Decentralized Cancer Care Models. International Journal of Scientific Research in Science and Technology Volume 10, Issue 3 (www.ijsrst.com) doi : https://doi.org/10.32628/IJSRST23113269
Baig, A. F., & Khan, M. A. (2021). Security, privacy, and usability in continuous authentication. Journal of Information Security and Applications, 58, 102747. https://doi.org/10.1016/j.jisa.2020.102747
Bansal, P., & Gupta, A. (2024). Continuous authentication in the digital age: An analysis of reinforcement learning-based systems. Journal of Cybersecurity and Privacy, 4(1), 103–118. https://doi.org/10.3390/jcp4010010
Baseri, Y., SenhajiHafid, A., &Makrakis, D. (2024). Privacy-enhanced adaptive authentication: User profiling with privacy guarantees. arXiv. https://arxiv.org/abs/2410.20555
Brown, G. M. (2006). Degrees of doubt: Legitimate, real and fake qualifications in a global market. Journal of Higher Education Policy and Management, 28(1), 71–79. https://doi.org/10.1080/13600800500353012
Choi, J. H., &Gipper, B. (2024). Fraudulent financial reporting and the consequences for employees. Journal of Accounting & Economics, 78(1), 1–19. https://doi.org/10.1016/j.jacceco.2024.01.001
Gilch, P. M., &Sieweke, J. (2020). Recruiting digital talent: The strategic role of recruitment in organisations’ digital transformation. German Journal of Human Resource Management: ZeitschriftfürPersonalforschung, 35(1), 53-82. https://doi.org/10.1177/2397002220952734
Gong, L. Y., & Li, X. J. (2024). A contemporary survey on deepfake detection: datasets, algorithms, and challenges. Electronics, 13(3), 585. https://doi.org/10.3390/electronics13030585
Grace, I., &Okoh, O. F. (2022). Evaluating the impact of online coding platforms on programming skill acquisition in secondary and tertiary education. Acta Electronica Malaysia, 6(1), 16–23. https://doi.org/10.26480/aem.01.2022.16.23
He, C., Deng, Y., Fabris, A., Li, B., &Biega, A. (2024). Developing a fair online recruitment framework based on job-seekers’ fairness concerns. arXiv. https://arxiv.org/abs/2501.14110
Herbke, P., Sapkota, A., &Lamichhane, S. (2024). Lifecycle management of résumés with decentralized identifiers and verifiable credentials. arXiv. https://arxiv.org/abs/2406.11535
Hunkenschroer, A. L., & Müller, J. (2022). Ethics of AI-enabled recruiting and selection: A review. Journal of Business Ethics, 180(4), 1–17. https://doi.org/10.1007/s10551-022-05049-6
Idika, C. N. (2023). Quantum Resistant Cryptographic Protocols for Securing Autonomous Vehicle to Vehicle (V2V) Communication Networks International Journal of Scientific Research in Computer Science, Engineering and Information Technology Volume 10, Issue 1 doi : https://doi.org/10.32628/CSEIT2391547
Idika, C. N., James, U.U, Ijiga, O. M., Enyejo, L. A. (2023). Digital Twin-Enabled Vulnerability Assessment with Zero Trust Policy Enforcement in Smart Manufacturing Cyber-Physical System International Journal of Scientific Research in Computer Science, Engineering and Information Technology Volume 9, Issue 6 doi : https://doi.org/10.32628/IJSRCSEIT
Ijiga, O. M., Ifenatuora, G. P., &Olateju, M. (2021). Bridging STEM and Cross-Cultural Education: Designing Inclusive Pedagogies for Multilingual Classrooms in Sub Saharan Africa. JUL 2021 | IRE Journals | Volume 5 Issue 1 | ISSN: 2456-8880.
Ijiga, O. M., Ifenatuora, G. P., &Olateju, M. (2021). Digital Storytelling as a Tool for Enhancing STEM Engagement: A Multimedia Approach to Science Communication in K-12 Education. International Journal of Multidisciplinary Research and Growth Evaluation. Volume 2; Issue 5; September-October 2021; Page No. 495-505. https://doi.org/10.54660/.IJMRGE.2021.2.5.495-505
Ijiga, O. M., Ifenatuora, G. P., &Olateju, M. (2022). AI-Powered E-Learning Platforms for STEM Education: Evaluating Effectiveness in Low Bandwidth and Remote Learning Environments. International Journal of Scientific Research in Computer Science, Engineering and Information Technology ISSN : 2456-3307 Volume 8, Issue 5 September-October-2022 Page Number : 455-475 doi : https://doi.org/10.32628/IJSRCSEIT
Ijiga, O. M., Ifenatuora, G. P., &Olateju, M. (2023). STEM-Driven Public Health Literacy : Using Data Visualization and Analytics to Improve Disease Awareness in Secondary Schools. International Journal of Scientific Research in Science and Technology. Volume 10, Issue 4 July-August-2023 Page Number : 773-793. https://doi.org/10.32628/IJSRST
Imoh, P. O. (2023). Impact of Gut Microbiota Modulation on Autism Related Behavioral Outcomes via Metabolomic and Microbiome-Targeted Therapies International Journal of Scientific Research and Modern Technology (IJSRMT) Volume 2, Issue 8, 2023 DOI: https://doi.org/10.38124/ijsrmt.v2i8.494
Imoh, P. O., &Idoko, I. P. (2022). Gene-Environment Interactions and Epigenetic Regulation in Autism Etiology through Multi-Omics Integration and Computational Biology Approaches. International Journal of Scientific Research and Modern Technology, 1(8), 1–16. https://doi.org/10.38124/ijsrmt.v1i8.463
Imoh, P. O., &Idoko, I. P. (2023). Evaluating the Efficacy of Digital Therapeutics and Virtual Reality Interventions in Autism Spectrum Disorder Treatment. International Journal of Scientific Research and Modern Technology, 2(8), 1–16. https://doi.org/10.38124/ijsrmt.v2i8.462
Iskandar, B., Maarif, S., &Ramadyanto, W. (2024). Reputational risks management and mitigation: Empirical evidence from the wedding organizer sector. Journal of Strategic and Business Studies, 28(1), 72–85. https://doi.org/10.20885/jsb.vol28.iss1.art5
James, U. U., Idika, C. N., &Enyejo, L. A. (2023). Zero Trust Architecture Leveraging AI-Driven Behavior Analytics for Industrial Control Systems in Energy Distribution Networks, International Journal of Scientific Research in Computer Science, Engineering and Information Technology Volume 9, Issue 4 doi : https://doi.org/10.32628/CSEIT23564522
James, U. U. (2024). Blockchain Based Compliance Auditing For GRC Integration in Hybrid Cloud IT Governance Frameworks. International Journal of Scientific Research in Computer Science, Engineering and Information Technology doi :https://doi.org/10.32628/CSEIT24113368
Jimu, I. M. (2016). Fake qualifications and the challenge of regulating higher education in Southern Africa. International Journal of Educational Development, 48, 1–9. https://doi.org/10.1016/j.ijedudev.2016.02.001
Jinadu, S. O., Akinleye, E. A., Onwusi, C. N., Raphael, F. O., Ijiga, O. M. &Enyejo, L. A. (2023). Engineering atmospheric CO2 utilization strategies for revitalizing mature american oil fields and creating economic resilience Engineering Science & Technology Journal Fair East Publishers Volume 4, Issue 6, P.No. 741-760 DOI: 10.51594/estj.v4i6.1989
Jinadu, S. O., Akinleye, K. E., Onwusi, C. N., Okoh, O. F., & Ijiga, O. M. (2024). Advancing Atmospheric CO₂ Capture Integration with Oil Reservoir Injection for Sustainable Domestic Hydrocarbon Production Expansion. International Journal of Scientific Research and Modern Technology, 3(6), 123–136. https://doi.org/10.38124/ijsrmt.v3i6.728
Kalff, Y., &Simbeck, K. (2024). Explained, yet misunderstood: How AI literacy shapes HR managers’ interpretation of user interfaces in recruiting recommender systems. arXiv. https://arxiv.org/abs/2509.06475
Kindervag, J. (2010). No more trust: A new way to secure enterprise networks. Forrester Research. Retrieved from https://www.forrester.com/report/No+More+Trust+A+New+Way+To+Secure+Enterprise+Networks/-/E-RES58014
Manroop, L., & Singh, S. (2024). The ethical implications of big data in human resource management: A review. Journal of Business Ethics, 180(4), 1–17. https://doi.org/10.1007/s10551-024-05123-4
Murugesan, U. (2023). A study of artificial intelligence impacts on human resource management. Journal of Human Resource Management, 1(2), 1–12. https://doi.org/10.1016/j.jhrm.2023.100013
Negrin, K. A. (2022). Successful recruitment to qualitative research: A critical reflection. Qualitative Health Research, 32(1), 120–129. https://doi.org/10.1177/16094069221119576
NIST. (2020). Zero trust architecture. National Institute of Standards and Technology. Retrieved from https://doi.org/10.6028/NIST.SP.800-207
Okoh, O. F., & Grace, I. (2022). Mathematical modeling and machine learning for economic forecasting: A hybrid approach to predicting market trends. Acta Electronica Malaysia, 6(1), 07–15. https://doi.org/10.26480/aem.01.2022.07.15
Okoh, O. F., Fadeke, A. A., Ogwuche, A. O., &Adeyeye, Y. (2024). The Role of Educational Leadership in Enhancing Health Literacy and Implementing School-Based Mental Health Programs. International Journal of Advance Research Publication and Reviews, 1(2).
Okoh, O. F., Fadeke, A. A., Ogwuche, A. O., &Adeyeye, Y. (2024). Integrating Health Education into School Management Practices and Its Impact on Academic Performance. International Journal of Advance Research Publication and Reviews, 1(2).
Okoh, O. F., Ukpoju, E. A., Otakwu, A., Ayoola, V. B., & Ijiga, A. C. (2024). Evaluating the Influence of Human Capital Development on Economic Growth: A Global Analysis of the Potential Impact of AI Technologies. Corporate Sustainable Management Journal, 2(1), 49–59. https://doi.org/10.26480/csmj.01.2024.49.59
Okoh, O. F., Ukpoju, E. A., Otakwu, A., Ayoola, V. B., &Enyejo, L. A. (2024). Construction Management: Some Issues in the Construction Project. Engineering Heritage Journal (GWK). https://doi.org/10.26480/gwk.01.2024.42.50
Ononiwu, M., Azonuche, T. I., &Enyejo, J. O. (2023). Exploring Influencer Marketing Among Women Entrepreneurs using Encrypted CRM Analytics and Adaptive Progressive Web App Development. International Journal of Scientific Research and Modern Technology, 2(6), 1–13. https://doi.org/10.38124/ijsrmt.v2i6.562
Ononiwu, M., Azonuche, T. I., Imoh, P. O. &Enyejo, J. O. (2023). Exploring SAFe Framework Adoption for Autism-Centered Remote Engineering with Secure CI/CD and Containerized Microservices Deployment International Journal of Scientific Research in Science and Technology Volume 10, Issue 6 doi : https://doi.org/10.32628/IJSRST
Ononiwu, M., Azonuche, T. I., Okoh, O. F., &Enyejo, J. O. (2023). AI-Driven Predictive Analytics for Customer Retention in E-Commerce Platforms using Real-Time Behavioral Tracking. International Journal of Scientific Research and Modern Technology, 2(8), 17–31. https://doi.org/10.38124/ijsrmt.v2i8.561
Ononiwu, M., Azonuche, T. I., Okoh, O. F.. &Enyejo, J. O. (2023). Machine Learning Approaches for Fraud Detection and Risk Assessment in Mobile Banking Applications and Fintech Solutions International Journal of Scientific Research in Science, Engineering and Technology Volume 10, Issue 4 doi : https://doi.org/10.32628/IJSRSET
Oyekan, M., & Enyejo, J. O. (2023). Harnessing Data Analytics to Maximize Renewable Energy Asset Performance. International Journal of Scientific Research and Modern Technology, 2(8), 64–80. https://doi.org/10.38124/ijsrmt.v2i8.850
Oyekan, M., Igba, E. & Jinadu, S. O. (2024). Building Resilient Renewable Infrastructure in an Era of Climate and Market Volatility International Journal of Scientific Research in Humanities and Social Sciences Volume 1, Issue 1 doi : https://doi.org/10.32628/IJSRSSH
Paradhita, A. N., Khadija, M. A., Purbayu, A., Bawono, S. A. T., Aziz, A., Haryati, S., Wardani, D. R. P., &Pratama, R. K. A. (2024). Implementation of dynamic role-based access control and record log-in dependency injection based VRMS system. DECODE: JurnalPendidikanTeknologiInformasi, 4(3), 898–914. https://doi.org/10.1234/decode.v4i3.1234
Podapati, V. H., Nigam, D., & Das, S. (2024). SoK: A systematic review of context- and behavior-aware adaptive authentication in mobile environments. arXiv. https://arxiv.org/abs/2507.21101
Reck, A. (2024). Building trust in rural communities: Recruitment and retention strategies. Journal of Rural Health, 41(2), 123–131. https://doi.org/10.1111/jrh.12456
Rehman, A., &Hashim, F. (2024). Leveraging internal audit and blockchain to mitigate academic fraud and enhance institutional sustainability: A general strain theory perspective. International Journal of Social Science and Human Research, 8(1), 479-496. https://doi.org/10.47191/ijsshr/v8-i1-59
Shahiduzzaman, M. (2024). Digital maturity in transforming human resource management in the post-COVID era: A thematic analysis. Administrative Sciences, 15(2), 51. https://doi.org/10.3390/admsci15020051
Smith, J., & Chain, L. (2023). Real-time risk-adaptive authentication using reinforcement learning in multi-factor workflows. International Journal of Advanced Engineering Technologies and Innovations, 1(3), 593–607. https://doi.org/10.5281/zenodo.1234567
Suleski, T., &Dziadak, M. (2023). A data taxonomy for adaptive multifactor authentication in remote working environments. JMIR Human Factors, 10(1), e44114. https://doi.org/10.2196/44114
Vaccari, C., & Chadwick, A. (2020). Deepfakes and disinformation: Exploring the impact of synthetic political video on deception, uncertainty, and trust in news. Social Media + Society, 6(1), 1–13. https://doi.org/10.1177/2056305120903408
Vaidya, A., &Awasthi, A. (2024). Zero-to-One IDV: A conceptual model for AI-powered identity verification. arXiv. https://arxiv.org/abs/2503.08734
Westerlund, M. (2019). The emergence of deepfake technology: A review. Technology Innovation Management Review, 9(11), 39–52. https://doi.org/10.22215/timreview/1282
Xin, Q. (2018). The economic consequences of financial fraud. Journal of Financial Crime, 25(4), 1050–1065. https://doi.org/10.1108/JFC-03-2018-0041
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Scientific Research in Humanities and Social Sciences

This work is licensed under a Creative Commons Attribution 4.0 International License.