Veriff

Deepfake fraud has officially moved from a technical novelty to a massive financial liability. It's now a recurring line item showing up in board reports and post-incident investigations worldwide. Before you read our latest breakdown on the true cost of AI-accelerated fraud, we want to test your awareness of the current threat landscape. How much financial loss did deepfakes cause globally in the first 9 months of 2025?

Look closely at the video below. To a standard identity API, this user profile just passed with flying colors. Here’s how fraudsters are gaming the system: 👉 Legacy identity verification tools only require a live selfie to match one photo on an account. 👉 Sophisticated scammers exploit this by uploading a single, heavily morphed asset, like photoshopping their face onto a billboard, a painting, or a high-quality stock image, to satisfy the biometric check. 👉 Once they pass the front door, they populate the rest of their dating profile with fake photos to run romance scams under a verified badge. Veriff’s selfie-to-selfie workflow closes this loophole completely. Every single time a user uploads a new profile photo, our engine verifies it against a biometric check. Stop verifying clever illusions. See how Veriff protects platform authenticity.

RT PYMNTS: Security teams want more checks. Growth teams want fewer. That tension has defined onboarding for years, and AI is starting to…

"Bad actors can utilize AI to create realistic looking listing images and descriptions, impersonate property owners, and produce credible looking documents that previously would have required far more effort to develop." That's the exact warning our Fraud Platform Lead, Iryna Bondar-Mucci 🇺🇦, just shared with ConsumerAffairs. The summer rental market is fiercely competitive. When renters are desperate to secure a lease in a major city, they move fast. Fraudsters count on that urgency. Their tactics have now evolved well beyond copying old photos for a fake marketplace post. Today, scammers are deploying synthetic identities to mask who they really are. They use generative tools to spin up pristine property photos and flawless lease agreements in minutes. The entire setup looks completely legitimate right up until the wire transfer clears and the fake landlord disappears. Asking everyday renters to spot a digitally altered document or a synthetic identity is a losing battle. For the online property platforms hosting these listings, stopping this fraud requires strict identity verification at the point of onboarding. Read Ira’s full interview in ConsumerAffairs to see exactly how these modern scams operate and what to look out for: consumeraffairs.com/news/rental-sc…

RT PYMNTS: Security teams want more checks. Growth teams want fewer. That tension has defined onboarding for years, and AI is starting to…