Deepfake Fraud Detection Scams 
Fintech News
APRIL 7, 2024
In the contemporary digital world, the proliferation of deepfake technology and generative AI heralds an era fraught with online scam challenges, notably within the financial sector in Asia. Economic Ramifications of Deepfake Scams The global impact of impersonation scams can be far-reaching, and expensive.
The Fintech Times
SEPTEMBER 11, 2024
AI-powered fraud-as-a-service (FaaS) platforms have enabled these mass-scale attacks, contributing to APAC now holding the highest global fraud rate, with 3.27 Bots and deepfakes The rise of bots using deepfake technology to create convincing fake profiles poses an additional challenge.
Seon
JUNE 27, 2024
How can the technology driving novel and increasingly sophisticated fraud activities be harnessed to combat scams and cyber risks cost-efficient and effectively? These advancements have changed the way we approach cybersecurity and fraud detection. Learn More Sources : 1.
Seon
MAY 23, 2024
Historically, companies have resorted to a patchwork of point solutions and variegated tools across a fraud-fighting tech stack, leading to fragmented data and operational inefficiencies from switching from one solution to the subsequent and obfuscated risk views.
Seon
JUNE 7, 2024
As a result, organizations face large volumes of fraudulent data, necessitating heightened vigilance and advanced detection methods to protect themselves – and their customers or users. Other AI applications include enhancements to traditional scams, such as phishing and social engineering attacks.
PYMNTS
SEPTEMBER 11, 2019
STACK implements various behind-the-scenes procedures — tokenization, identity verification and automated fraud detection, for example — and provides customer-facing options that give users a sense of control and transparency.
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