Abstract: In some implementations, a reliability modeler may receive a plurality of webpages associated with a first entity from an Internet scraping device. The reliability modeler may detect, within the plurality of webpages, at least one of a logo, a font, or a color. The reliability modeler may apply a model, trained on a set of guidelines associated with the first entity, to the logo, the font, or the color. Accordingly, the reliability modeler may determine, based on output from the model, that the plurality of webpages are unlikely to be authorized by the first entity. The reliability modeler may transmit, to a user device, an alert based on determining that the plurality of webpages are unlikely to be associated with the first entity.

Abstract: In some implementations, an augmented reality (AR) device may receive first images representing a webpage, an email, a product, or a store associated with a first entity. The AR device may detect, within the first images, a logo, a font, and/or a color. The AR device may apply a model, trained on a set of guidelines associated with the first entity, to the logo, the font, and/or the color. Accordingly, the AR device may receive, from the model, a first score associated with the webpage, the email, the product, or the store. The AR device may transmit an alert based on the first score. In some implementations, the AR device may further receive second images and apply the model to receive a second score associated with the webpage, the email, the product, or the store. Accordingly, the AR device may transmit an additional alert based on the second score.