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What is Scam Intelligence?

Scam intelligence is the product of analysis of many confirmed or suspected scam schemes. It can come in many different forms. Text, images, networks, patterns, and routines are all examples of what scam intelligence can be. The primary use of this intelligence is to be able to identify new scams based on information gathered from previous ones.

For a more detailed dive into exactly what Scam Intelligence is, watch the video.

10,000+

unique threat indicators used to determine the legitimacy of an ecommerce website.

50,000+

ecommerce stores logged using platforms such as Shopify, Woocommerce, and OpenCart.

1,000,000+

images documented being used on ecommerce websites to sell and advertise products.

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The Scam Intelligence Algorithm

Qti.ai has developed the Scam Intelligence Algorithm (Scami) in order to detect duplicate content and suspicious attributes on ecommerce websites (https://qti.ai/scami). The algorithm is designed to proactively seek out other websites that have similar attributes in order to uncover scam networks. These datasets are also used to find copyrighted material, such as stolen images and reviews.

The Scam Intelligence Algorithm provides unprecedented access to data on a website, including text, images, reviews, and more. This information is compiled in our databases, and can be processed and compared to data we provide. Using this technique, stolen content can be found quickly and action can be taken to secure a small business' brand in a way that is fast and cost-effective.

All of Qti.ai's algorithms can scale. Whether it be for a business generating $10,000 a year or $1,000,000, the Scam Intelligence Algorithm can detect and process stolen data fast and efficiently. We have already released a bot that automatically alerts larger brands of copyright infringement when it is detected in our databases (https://twitter.com/ScamiBot). Brands of all sizes can rest assured that the proactive scam intelligence Qti.ai is collecting is accurate and can be used to take down bad actors in the ecommerce sector.