Platform Launched to Fight AI Hiring Fraud
The company Yardstik has launched a new platform designed to combat AI-driven fraud in the hiring process. The Human Trust Platform aims to address the challenges of verifying candidate identity and credentials in an environment with increasingly sophisticated AI tools.
- Yardstik's Human Trust Platform integrates several technologies to combat fraud, including "Detect AI™," which analyzes signals like payment fraud indicators and device anomalies, alongside biometric identity verification that matches candidates to government-issued IDs. - The platform addresses the limitations of traditional, one-time background checks by offering continuous, real-time criminal monitoring that checks national and state databases daily. - This technology is a response to the growing sophistication of AI-driven fraud, which includes deepfake video interviews, voice cloning, AI-generated resumes tailored to job descriptions, and fabricated credentials. - Research indicates the scale of the problem is significant, with one firm projecting that a quarter of all job candidates globally could be fake by 2028. A 2025 survey found that 72% of recruiters have encountered AI-driven deception, from face-swapping in interviews to entirely machine-written resumes. - Common fraudulent tactics include candidates using AI for real-time assistance during interviews, creating synthetic resumes, and even having other individuals or AI bots conduct interviews on their behalf. - The industries most vulnerable to this type of fraud are technology, marketing, and design. However, the consequences are severe across sectors, with bad actors seeking to install malware, steal proprietary information, or funnel money to foreign entities. - Founded in 2020, Minneapolis-based Yardstik has raised millions in funding to develop its screening and verification technology, initially focusing on the needs of the growing gig economy. - The platform's approach mirrors the evolution of cybersecurity, shifting from periodic checks to a "zero-trust" model of continuous verification to manage workforce risk.