Scammers can use a variety of image components to create a realistic-looking composite of an individual or damage scenario. To protect themselves, insurers need to deploy big data analysis systems that can detect anomalies in images — indications that the image is not a Scammers can use a variety of image components to create a realistic-looking composite of an individual or damage scenario. To protect themselves, insurers need to deploy big data analysis systems that can detect anomalies in images — indications that the image is not a "natural" one. (Photo: Seventyfour/Adobe Stock)

Deepfakes — phony images or videos that look like the real thing, but aren't — are everywhere these days. Some are perhaps easy to spot and, as a result, don't really hurt anyone — but others, such as those used by insurance fraudsters, can be used to swindle insurers into paying for phony claims, or even worse, fool a buyer into believing a substandard vehicle is safe, risking their lives. In order to avoid losses and weed out phony claims, insurers are going to need advanced fraud detection systems.

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