Preventing Hiring Fraud and Workforce Risk: A Real-Time Candidate Identity Verification Framework for U.S. Enterprises
Abstract
This paper presents a real-time framework for candidate identity verification and hiring fraud detection in enterprise talent acquisition systems. The approach integrates identity proofing, behavioral correlation, and risk scoring into recruitment workflows to improve workforce security while preserving privacy, fairness, and regulatory compliance.
Fields of Study & Subjects
AI and HR Technologies
Employer Branding and e-HRM
User Authentication and Security Systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 31 January 2026
- Language
- EN