Laser Focus World is an industry bedrock—first published in 1965 and still going strong. We publish original articles about cutting-edge advances in lasers, optics, photonics, sensors, and quantum technologies, as well as test and measurement, and the shift currently underway to usher in the photonic integrated circuits, optical interconnects, and copackaged electronics and photonics to deliver the speed and efficiency essential for data centers of the future.

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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
  • James Butler, Ph.D., Hamamatsu
  • Natalie Fardian-Melamed, Ph.D., Columbia University
  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

Veriff Report Highlights Deepfake Threats and Protective Strategies

New York, Aug. 08, 2024 (GLOBE NEWSWIRE) -- Veriff, a preferred global identity verification provider, released a report, Deepfakes Deep Dive, that examines the rise of deepfake technology, its implications for the digital economy, and strategies for mitigating associated risks. As AI-generated deepfakes become more sophisticated, the report provides insights for businesses and individuals on safeguarding against fraud.

“Deepfakes aren’t necessarily a new phenomenon. We’ve dealt with the threat for years. However, the GenAI-driven ability to impersonate a user's likeness creates serious security problems for online businesses,” says Rishi Chauhan, Director of Product for Identity and Fraud at Veriff.

In the report, Veriff has identified four common techniques adopted by fraudsters as they deploy AI and deep learning in their activities: Face Swaps, Lip Sync, Puppets, and GANs & Autoencoders. Chauhan names Face Swapping, in particular, as an area that is improving constantly. “It doesn’t leap forward every year, but every few months. Videos are also getting better—today, there are many ways that we can see whether it’s a deepfake video, but at some point, it will be difficult for humans to see these details,” he adds. In 2023 alone, approximately 500,000 voice and video deepfakes were circulated globally.

The danger of deepfakes is that they can be used to attack existing accounts and fraudulently open new ones. Enterprises with disjointed and inconsistent identity management processes and poor cybersecurity are especially vulnerable.

“To stay ahead of fraudsters, companies need a constantly evolving, multi-layered approach that combines a range of threat mitigation tools. Unfortunately, no single solution exists,” comments Rishi Chauhan. He suggests that there are some essential elements that a coordinated strategy should include:

  • Comprehensive checks on identity documents
  • Examination of key device attributes
  • Treating data absence as a risk factor
  • Counter-AI to identify manipulated images
  • Pattern detection across sessions and customers
  • Biometric analysis of photographic and video images

“Whether you use IDV, document verification, or other tools, the more controls and data points you have, the harder it is for the fraudsters,” adds Rishi Chauhan.

For more findings and expert recommendations, access the full Deepfakes Deep Dive Report and Fraud Prevention Toolkit. Find a report summary with key takeaways from Veriff's blog.

About Veriff

Veriff is the preferred identity verification platform partner for the world's most innovative growth-driven organizations, including online marketplaces, financial services, crypto, gaming and mobility companies, and other sectors. The company provides advanced technology that combines AI-powered automation with reinforced learning from human feedback, deep insights, and expertise. Veriff is the partner of choice for organizations that need to rapidly and conveniently verify and safeguard users anywhere in the world.


Veriff
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