U.S. News & World Report Features Recent Prove Report on Online Shopping & AI-Based Fraud
U.S. News & World Report recently published a comprehensive blueprint for stopping digital shopping scams for this holiday season. Their 14 specific recommendations rely heavily on insights and advice from a recent report released by Prove.
The report is based on two surveys commissioned by Prove which were conducted by market research company Dynata in October 2023. The results are presented in this enlightening report which demonstrates the specific reasons that consumers are cautious this holiday season. Specifically, the report shows that:
- 81% of consumers saying they are worried about fraud while shopping online this holiday season, and
- 84% of consumers are concerned about AI-based fraud attacks this holiday season.
How are fraudsters perpetrating this fraud? They’re using a variety of tried-and-true methods, but with the addition of AI, it’s making these harder to detect.
Read the full article from U.S. News & World Report to learn more.
Keep reading
Read the article: How Prove’s Global Fraud Policy Stops Phone-Based Fraud Others MissLearn how Prove’s Global Fraud Policy (GFP) uses an adaptive, always-on engine to detect modern phone-based threats like recycled number fraud and eSIM abuse. Discover how organizations can secure account openings and recoveries without increasing user friction.
Read the article: Prove Supports Safer Internet Day: Championing a Safer, More Trustworthy Digital WorldProve proudly supports the goals and initiatives behind Safer Internet Day, a worldwide effort that brings together individuals, organizations, educators, governments, and businesses to promote the safe and positive use of digital technology for all, especially young people and vulnerable users.
Read the article: Prove’s State of Identity Report Highlights the New Rules of Digital TrustProve’s State of Identity Report explores why traditional point-in-time verification is failing and how businesses can transition to a continuous, persistent identity model to reduce fraud and improve user experience.
