As deepfake video technology improves, the scale of online fraud will grow even further, experts say. As deepfake video technology improves, the scale of online fraud will grow even further, experts say. AI content for scams can be targeted at individuals and'produced by pretty much anybody', researchers say Deepfake fraud has gone "industrial", an analysis published by AI experts has said. Tools to create tailored, even personalised, scams - leveraging, for example, deepfake videos of Swedish journalists or the president of Cyprus - are no longer niche, but inexpensive and easy to deploy at scale, said the analysis from the AI Incident Database . These examples are part of a trend in which scammers are using widely available AI tools to perpetuate increasingly targeted heists.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Deepfakes aren't new, but this AI-powered technology has emerged as a pervasive threat in spreading misinformation and increasing identity fraud. The pandemic made matters worse by creating the ideal conditions for bad actors to take advantage of organizations' and consumers' blindspots, further exacerbating fraud and identity theft. Fraud stemming from deepfakes spiked during the pandemic, and poses significant challenges for financial institutions and fintechs that need to accurately authenticate and verify identities.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! A couple posts a holiday selfie to keep friends updated on their travels. Unwittingly, each one is adding fuel to an emerging fraud vector that could become enormously challenging for businesses and consumers alike: Deepfakes. Deepfakes get their name from the underlying technology: Deep learning, a subset of artificial intelligence (AI) that imitates the way humans acquire knowledge.