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) 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.

Advanced communication technology, it turns out, is a double-edged sword for insurers. By providing customers with the opportunity to upload images and data, companies can save themselves — and customers — a great deal of time, effort, hassle and money. It’s a trend that flowered during the pandemic and continues to grow.

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