The Democratization of Deepfakes

Deepfake fraud has gone from fringe to mainstream, and the damage is skyrocketing. The World Economic Forum shows a huge increase of 1,740% in North America from 2022 to 2023. The Wall Street Journal reports that companies lost over $200 million to deepfake scams in the first quarter of 2025.

Financial institutions are often targeted. This was noted by the U.S. Department of the Treasury's Financial Crimes Enforcement Network (FinCEN) earlier this year.

It is not just the increase in attacks. There is also a hidden rise in losses from 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 complexity of attacks has made it hard for people to detect them. This increases the need for automated AI fraud detection.

When we talk about Deepfakes, AI-made videos and images have become very advanced. This was shown by the $25 million Arup case  in 2024.

Second, the Fraud-as-a-Service (FaaS) ecosystem has a marketplace. Here, 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 biometric liveness detection solution provides a critical proof of life. This liveness check confirms "who + when" and blocks replayed or recycled videos.

It also stops advanced silicone or 3D masks. Most importantly, it prevents sophisticated deep fake fraud attempts. This process is a core part of effective facial anti-spoofing.

Our liveness 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 liveness detection provides a smooth user experience. It works quietly in the background to confirm authenticity. This is done through a multi-layered analysis of facial biometrics. By combining machine learning, motion cues, and contextual analysis, our liveness solution can detect impersonation attempts that traditional systems miss.

Use Cases That Deserve Protection

Liveness detection helps prevent advanced fraud during onboarding and transactions. This type of fraud can hurt businesses and customers worldwide.

Prevent now, or be sorry later

To combat AI-powered deception, adding face liveness detection is essential. You can do this with a simple liveness SDK or ID verification SDK.

This step is not just smart; it is necessary to protect your business and your customers' identities.

For more information about Oz solutions, visit our Oz Liveness and Oz Biometry page. You can see our solution in action with our Demo.