Deepfake scams push firms to tighten identity verification

May 23, 2026
11:49AM PHT

Insider Spotlight

  • iProov introduces a tool that verifies identities during video calls
  • Firms face rising fraud risks from AI-generated deepfakes
  • Solution targets remote hiring, onboarding, and financial approvals
  • Deepfake detection runs silently during live meetings


Organizations are under growing pressure to secure video-based interactions as deepfake technology becomes cheaper, more convincing, and harder to detect. 

Organizations are under growing pressure to secure video-based interactions as deepfake technology becomes cheaper, more convincing, and harder to detect. 

The increasing use of AI-generated identities in remote hiring, financial approvals, and customer onboarding is pushing enterprises to rethink how trust is established in virtual meetings.

Against this backdrop, biometric identity verification company iProov unveiled “iProov Verified Meetings,” a system designed to authenticate participants during live video calls without interrupting the meeting experience. 

The offering forms part of the company’s Workforce Solutions Suite and is aimed at preventing fraud tied to synthetic identities and manipulated video feeds.

Andrew Bud, founder and CEO of iProov | Contributed photo

Why it matters

Video conferencing has evolved into critical infrastructure for businesses, governments, and financial institutions. But attackers are increasingly exploiting these platforms using generative AI-powered deepfakes and virtual camera tools that can impersonate real people convincingly.

iProov cited recent high-profile incidents highlighting the risks, including a deepfake scam that reportedly cost engineering firm Arup $25 million and cases involving North Korea-linked operatives infiltrating organizations through remote interviews.

“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,” Andrew Bud, founder and CEO of iProov, said in a press statement.

“But organizations 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.”

How it works

The system integrates directly into video conferencing platforms through a native plugin. It analyzes live video streams in real time using two checks: imagery analysis to detect deepfakes and presentation attacks, and hardware verification to confirm the video feed comes from a physical camera rather than a virtual environment.

The verification process runs in the background, while hosts receive a Red, Amber, or Green status indicator to guide decision-making during calls. 

According to iProov, the approach is designed to reduce friction while strengthening defenses against fraud and social engineering attempts. —Vanessa Hidalgo | Ed: Corrie S. Narisma

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