HRTech platform InCruiter has warned that deepfake-led interview fraud is emerging as a major risk for enterprises, particularly in remote hiring scenarios. Proxy interviews, AI-assisted impersonation, and off-camera prompting not only compromise hiring quality but also expose organizations to security, compliance, and reputational risks.
InCruiter, powered by Agentic AI, is a leading provider of a full-stack virtual interview ecosystem that not only automates every hiring stage but connects them into a seamless workflow on its HRTech platform. The company has announced the integration of Deepfake Detection technology into its AI proctoring platform, making it the first company in the interview automation space to proactively address the growing threat of deepfakes, impersonation, and proxy interviews in virtual hiring.
Said Anil Agarwal, Founder & CEO, InCruiter: “As enterprises increasingly rely on virtual interviews and AI-led hiring, the industry is facing a new and serious challenge – deepfakes and digital impersonation. The rapid availability of AI-generated videos, facial manipulation tools, and voice cloning software has made it difficult for recruiters to verify whether the person appearing on screen is genuinely the candidate being evaluated.”
He added, “In today’s hiring environment, speed cannot come at the cost of trust. A year ago, an enterprise client asked us a simple but powerful question: Can your system detect deepfakes? At the time, the answer was no. But that question stayed with us. As AI continues to evolve, so do its risks. We realized that safeguarding the authenticity of candidates is as important as automating interviews. This led us to build deepfake detection directly into our interview platform.”
InCruiter’s newly launched Deepfake Detection capability goes beyond traditional behavior monitoring by introducing two powerful features designed to eliminate the most prevalent forms of interview fraud: facial impersonation detection and AI-generated voice detection, ensuring complete authenticity in virtual hiring processes. A combination of advanced AI to detect facial impersonation and AI-generated voice manipulation in real time during virtual interviews helps in instantly flagging and logging any fraudulent activity.
As remote interviews become the standard in modern recruitment, sophisticated AI-powered fraud attempts have emerged as a critical threat to hiring integrity. The Deepfake Detection technology’s key capabilities include instant detection of deepfakes or altered video streams, identification of impersonation attempts and mismatched facial patterns, monitoring of screen activity and background voices for off-camera assistance, and automated audit reports with trust scores, timestamps, and detailed flags. The feature has been seamlessly integrated into InCruiter’s existing AI Interview Software and Video Interview Platform, ensuring minimal disruption while significantly enhancing hiring integrity.
“This upgrade is a critical step towards restoring trust in virtual hiring,” Agarwal added.
“Technology should not only simplify recruitment – it must also protect it. Our deepfake detection solution safeguards both enterprises and genuine candidates, ensuring that merit, not manipulation, determines hiring outcomes,” Anil Agarwal said.
Founded in 2018 by Anil Agarwal (CEO) and Ritu Mathran (CFO), Bengaluru-based InCruiter helps startups and enterprises automate and scale their hiring processes with an AI-powered video interview ecosystem. With over 600 domestic and international clients across India, the US, UK, and other global markets, more than 10 million interview minutes conducted, and 24×7 interview services, InCruiter is redefining how modern hiring is done.
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