The Democratization of Deepfakes

Deepfake fraud has gone from fringe to mainstream—and the damage is skyrocketing. The World Economic Forum highlights a North American-alone spike of 1,740% between 2022 and 2023, while the Wall Street Journal reports that companies lost over $200 million to deepfake scams in Q1 2025 alone.

Financial institutions are especially targeted as highlighted by U.S. Department of the Treasury's Financial Crimes Enforcement Network (FinCEN) earlier this year.

And it is not just the rise of attacks; it is also an insidious rise in losses attached to digital identity fraud:

With such large figures at stake, a skilled criminal industry has emerged that threatens digital onboarding and user accounts.

The New Weapons of Fraud: Deepfakes as part of Fraud-as-a-Service (FaaS)

Yesterday's security cannot stop tomorrow's threats. The game has changed with two strong forces: AI attacks and the rise of organized cybercrime offerings. The resulting sophistication of attacks has rendered human perception nearly useless for detection.

When we talk about Deepfakes, AI-generated videos and images have reached a science fiction point as shown by the $25 million Arup case  in 2024.

Second, the Fraud-as-a-Service (FaaS) ecosystem has an advanced marketplace where criminals can buy phishing toolkits, rent ransomware, and find AI fraud tools. This "democratization" of cybercrime allows any organization to face highly advanced attacks.

Why Liveness Detection Helps

A solution like Oz  Liveness detection validates the “who + when". It blocks:

·         replayed or recycled videos,

·         advanced silicone or 3D masks,

·         and most importantly nowdays, sophisticated deep fake fraud attempts.

Oz solution offers a frictionless, yet powerful, layer of protection. It verifies that the capturing of the face was done in real-time and not pre-recorded or manipulated. It can also check whether that face matches the picture on any ID submitted digitally.  Oz passive liveness in particular offer seamless user experience—working invisibly behind the scenes to confirm authenticity via a multi-layered analysis.  By combining machine learning, motion cues, and contextual analysis, Oz can detect impersonation attempts that traditional systems miss.

Use Cases That Deserve Protection

From onboarding to transactions, liveness detection clamps down on sophisticated fraud like that can severely impair business and harm customers around the globe.

Prevent now, or be sorry later

 In the face of evolving AI-powered deception, embedding liveness detection into identity workflows isn’t just smart—it’s non-negotiable for protecting your business integrity and the identity of your costumers. For more information on Oz solutions, visit our Oz Liveness and Oz Biometry page and experience our solution in action with our Demo.