"Fraudsters are increasingly using generative AI. Deepfake video calls and synthetic identities have become more realistic at record speed. 77 percent of anti-fraud professionals have seen a clear acceleration in the past two years. But most feel ill-prepared. This is according to research by the Association of Certified Fraud Examiners and SAS. Modern analysis techniques can recognize suspicious patterns and transactions in real time. Network analytics exposes hidden relationships that are barely visible to humans."
"The blind spot makes fraud unnecessarily easy. Fraudsters combine deepfakes with personal data and social engineering to make deception seem lifelike. Because AI models learn at lightning speed, new fraud scenarios develop faster than organizations can keep up. Less than one in ten anti-fraud professionals feels well prepared for this new generation of threats. SAS calls on organizations to look beyond technical measures. The basics must be in order: insight into data flows, clear controls, and understandable decision logic."
Generative AI enables realistic deepfake video calls and synthetic identities, accelerating fraud. 77 percent of anti-fraud professionals have seen acceleration; 83 percent expect increases. Less than one in ten feel well prepared. Fraudsters combine deepfakes with personal data and social engineering to create lifelike deception. AI models learn rapidly, producing new fraud scenarios faster than organizations can adapt. Modern analysis and network analytics can detect suspicious patterns and expose hidden relationships, but organizations must ensure data flow visibility, clear controls, and understandable decision logic before relying on AI.
Read at Techzine Global
Unable to calculate read time
Collection
[
|
...
]