iProov has launched Verified Meetings to help organisations check the identity of video call participants before critical decisions are made.
The tool verifies whether a participant is a real person using a physical camera, rather than an AI-generated identity or virtual camera setup.
Verified Meetings is part of the iProov Workforce Solutions Suite and supports its Workforce “Pre-Join” journey.
Video calls now sit inside higher-risk workflows such as customer onboarding, remote hiring, account recovery and financial approvals, making them a growing target for deepfake fraud and social engineering.
iProov cited the US$25 million deepfake video call fraud involving engineering firm Arup, as well as reports of North Korea-linked operatives using synthetic media in remote job interviews.
Andrew Bud, Founder and CEO of iProov, said,
“Video has become the standard way of communicating for business and consumers alike, from meeting with colleagues and suppliers to hiring, onboarding, and approving financial transactions. But organisations still largely assume that seeing a person on screen means they’re real.
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. ”
Delivered as a native plugin for video conferencing platforms, Verified Meetings can be triggered by the host during a call.
It analyses the live video stream in real time to detect deepfakes and presentation attacks, while checking whether the feed comes from a physical camera.
The check runs in the background without alerting the participant. The result appears to the host as a red, amber or green status.
iProov said the tool can help reduce risks before money is released, candidates are hired or access is granted.
The solution is supported by the iProov Security Operations Center, which monitors new attack methods and updates detection capabilities as threats evolve.
Featured image: Edited by Fintech News Singapore, based on image by Tanu via Magnific
