Deepfakes on video calls have already cost companies tens of millions of dollars and let state-linked operatives slip through hiring processes undetected. iProov wants to close that gap. The biometric identity verification company has launched iProov Verified Meetings, a tool that lets organizations silently authenticate the identity of video call participants in real time, without disrupting the conversation.
The product is part of iProov’s Workforce Solutions Suite and is designed to integrate directly into existing video conferencing platforms as a native plugin.
Why Video Calls Are Now a Major Fraud Vector
Video conferencing has become a staple of modern work — used for everything from routine check-ins to customer onboarding, remote hiring, account recovery, and financial approvals. That trust is now being exploited.
Two cases illustrate the scale of the risk. Global engineering firm Arup lost USD25 million after attackers used deepfake video to impersonate colleagues on a call. Separately, North Korea-linked operatives used synthetic media to infiltrate hundreds of organizations through remote job interviews.
The common thread is generative AI. Tools that create convincing, undetectable deepfakes are now cheap and widely accessible. When paired with virtual camera environments that can spoof video streams across any platform, attackers can deceive both human participants and the platforms themselves. Without a way to verify who is actually on the other end of a call, video has quietly become one of the fastest-growing attack surfaces in enterprise security.
“Organizations still largely assume that seeing a person on screen means they’re real,” said Andrew Bud, founder and CEO of iProov. “That assumption no longer holds. Deepfakes are now easy to create and very difficult to detect, making deception in video interactions both scalable and hard to stop.”
How Verified Meetings Works
The deepfake detection on iProov Verified Meetings runs as a native plugin within the video conferencing platform. When triggered by the host, it analyzes the live video stream across two dimensions: imagery analysis to detect deepfakes and presentation attacks, and hardware integrity verification to confirm the video is coming from a physical camera rather than a virtual environment.
The check runs silently in the background. Participants are unaware they’re being verified, which prevents bad actors from gaming the process and keeps things accessible for everyone on the call. The result appears directly in the host’s interface as a simple Red, Amber, or Green (RAG) status, giving a clear, immediate signal before any action is taken.
The system is backed by the iProov Security Operations Center (iSOC), a team of biometric scientists, threat intelligence experts, and red teamers who monitor emerging attack methods and push updates to detection capabilities in real time.
Built for High-Stakes Interactions
“iProov Verified Meetings provides that capability, enabling organizations to authenticate that participants are real people using real cameras while protecting the integrity of critical interactions,” Bud added.
The tool is positioned for any video interaction where identity matters: financial approvals, hiring interviews, client onboarding, or account recovery. By catching deepfakes before funds move, candidates are hired, or access is granted, it addresses the window of vulnerability that existing video platforms leave open.