Preventing Hiring Fraud and Workforce Risk: A Real-Time Candidate Identity Verification Framework for U.S. Enterprises

Key Points

• The aim is to develop a real-time framework for verifying candidate identities and preventing hiring fraud in enterprises.
• Developed a real-time candidate identity verification framework.
• Integrated identity proofing and behavioral correlation into recruitment workflows.
• Created risk scoring metrics to evaluate candidates' trustworthiness.
• The framework enhances workforce security and reduces the chances of hiring fraud.
• It maintains privacy and fairness throughout the recruitment process.
• Achieves regulatory compliance, ensuring organizational adherence to hiring standards.